Overview

Dataset statistics

Number of variables122
Number of observations307511
Missing cells9152465
Missing cells (%)24.4%
Total size in memory543.7 MiB
Average record size in memory1.8 KiB

Variable types

Numeric106
Categorical16

Warnings

ORGANIZATION_TYPE has a high cardinality: 58 distinct values High cardinality
OWN_CAR_AGE has 202929 (66.0%) missing values Missing
OCCUPATION_TYPE has 96391 (31.3%) missing values Missing
EXT_SOURCE_1 has 173378 (56.4%) missing values Missing
EXT_SOURCE_3 has 60965 (19.8%) missing values Missing
APARTMENTS_AVG has 156061 (50.7%) missing values Missing
BASEMENTAREA_AVG has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_AVG has 150007 (48.8%) missing values Missing
YEARS_BUILD_AVG has 204488 (66.5%) missing values Missing
COMMONAREA_AVG has 214865 (69.9%) missing values Missing
ELEVATORS_AVG has 163891 (53.3%) missing values Missing
ENTRANCES_AVG has 154828 (50.3%) missing values Missing
FLOORSMAX_AVG has 153020 (49.8%) missing values Missing
FLOORSMIN_AVG has 208642 (67.8%) missing values Missing
LANDAREA_AVG has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_AVG has 210199 (68.4%) missing values Missing
LIVINGAREA_AVG has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_AVG has 213514 (69.4%) missing values Missing
NONLIVINGAREA_AVG has 169682 (55.2%) missing values Missing
APARTMENTS_MODE has 156061 (50.7%) missing values Missing
BASEMENTAREA_MODE has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_MODE has 150007 (48.8%) missing values Missing
YEARS_BUILD_MODE has 204488 (66.5%) missing values Missing
COMMONAREA_MODE has 214865 (69.9%) missing values Missing
ELEVATORS_MODE has 163891 (53.3%) missing values Missing
ENTRANCES_MODE has 154828 (50.3%) missing values Missing
FLOORSMAX_MODE has 153020 (49.8%) missing values Missing
FLOORSMIN_MODE has 208642 (67.8%) missing values Missing
LANDAREA_MODE has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_MODE has 210199 (68.4%) missing values Missing
LIVINGAREA_MODE has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_MODE has 213514 (69.4%) missing values Missing
NONLIVINGAREA_MODE has 169682 (55.2%) missing values Missing
APARTMENTS_MEDI has 156061 (50.7%) missing values Missing
BASEMENTAREA_MEDI has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_MEDI has 150007 (48.8%) missing values Missing
YEARS_BUILD_MEDI has 204488 (66.5%) missing values Missing
COMMONAREA_MEDI has 214865 (69.9%) missing values Missing
ELEVATORS_MEDI has 163891 (53.3%) missing values Missing
ENTRANCES_MEDI has 154828 (50.3%) missing values Missing
FLOORSMAX_MEDI has 153020 (49.8%) missing values Missing
FLOORSMIN_MEDI has 208642 (67.8%) missing values Missing
LANDAREA_MEDI has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_MEDI has 210199 (68.4%) missing values Missing
LIVINGAREA_MEDI has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_MEDI has 213514 (69.4%) missing values Missing
NONLIVINGAREA_MEDI has 169682 (55.2%) missing values Missing
FONDKAPREMONT_MODE has 210295 (68.4%) missing values Missing
HOUSETYPE_MODE has 154297 (50.2%) missing values Missing
TOTALAREA_MODE has 148431 (48.3%) missing values Missing
WALLSMATERIAL_MODE has 156341 (50.8%) missing values Missing
EMERGENCYSTATE_MODE has 145755 (47.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_HOUR has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_DAY has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_WEEK has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_MON has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_QRT has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_YEAR has 41519 (13.5%) missing values Missing
AMT_INCOME_TOTAL is highly skewed (γ1 = 391.5596541) Skewed
FLAG_MOBIL is highly skewed (γ1 = -554.5367436) Skewed
FLAG_CONT_MOBILE is highly skewed (γ1 = -23.08117235) Skewed
FLAG_DOCUMENT_2 is highly skewed (γ1 = 153.7918174) Skewed
FLAG_DOCUMENT_4 is highly skewed (γ1 = 110.8943644) Skewed
FLAG_DOCUMENT_7 is highly skewed (γ1 = 72.17410795) Skewed
FLAG_DOCUMENT_10 is highly skewed (γ1 = 209.5890537) Skewed
FLAG_DOCUMENT_12 is highly skewed (γ1 = 392.1147791) Skewed
FLAG_DOCUMENT_15 is highly skewed (γ1 = 28.69933309) Skewed
FLAG_DOCUMENT_17 is highly skewed (γ1 = 61.21414027) Skewed
FLAG_DOCUMENT_19 is highly skewed (γ1 = 40.95613431) Skewed
FLAG_DOCUMENT_20 is highly skewed (γ1 = 44.3648968) Skewed
FLAG_DOCUMENT_21 is highly skewed (γ1 = 54.61293914) Skewed
AMT_REQ_CREDIT_BUREAU_DAY is highly skewed (γ1 = 27.04350471) Skewed
AMT_REQ_CREDIT_BUREAU_QRT is highly skewed (γ1 = 134.365776) Skewed
SK_ID_CURR has unique values Unique
TARGET has 282686 (91.9%) zeros Zeros
CNT_CHILDREN has 215371 (70.0%) zeros Zeros
FLAG_EMP_PHONE has 55386 (18.0%) zeros Zeros
FLAG_WORK_PHONE has 246203 (80.1%) zeros Zeros
FLAG_PHONE has 221080 (71.9%) zeros Zeros
FLAG_EMAIL has 290069 (94.3%) zeros Zeros
REG_REGION_NOT_LIVE_REGION has 302854 (98.5%) zeros Zeros
REG_REGION_NOT_WORK_REGION has 291899 (94.9%) zeros Zeros
LIVE_REGION_NOT_WORK_REGION has 295008 (95.9%) zeros Zeros
REG_CITY_NOT_LIVE_CITY has 283472 (92.2%) zeros Zeros
REG_CITY_NOT_WORK_CITY has 236644 (77.0%) zeros Zeros
LIVE_CITY_NOT_WORK_CITY has 252296 (82.0%) zeros Zeros
BASEMENTAREA_AVG has 14745 (4.8%) zeros Zeros
COMMONAREA_AVG has 8442 (2.7%) zeros Zeros
ELEVATORS_AVG has 85718 (27.9%) zeros Zeros
LANDAREA_AVG has 15600 (5.1%) zeros Zeros
NONLIVINGAPARTMENTS_AVG has 54549 (17.7%) zeros Zeros
NONLIVINGAREA_AVG has 58735 (19.1%) zeros Zeros
BASEMENTAREA_MODE has 16598 (5.4%) zeros Zeros
COMMONAREA_MODE has 9690 (3.2%) zeros Zeros
ELEVATORS_MODE has 89498 (29.1%) zeros Zeros
FLOORSMAX_MODE has 3415 (1.1%) zeros Zeros
LANDAREA_MODE has 17453 (5.7%) zeros Zeros
NONLIVINGAPARTMENTS_MODE has 59255 (19.3%) zeros Zeros
NONLIVINGAREA_MODE has 67126 (21.8%) zeros Zeros
BASEMENTAREA_MEDI has 14991 (4.9%) zeros Zeros
COMMONAREA_MEDI has 8691 (2.8%) zeros Zeros
ELEVATORS_MEDI has 87026 (28.3%) zeros Zeros
LANDAREA_MEDI has 15919 (5.2%) zeros Zeros
NONLIVINGAPARTMENTS_MEDI has 56097 (18.2%) zeros Zeros
NONLIVINGAREA_MEDI has 60954 (19.8%) zeros Zeros
OBS_30_CNT_SOCIAL_CIRCLE has 163910 (53.3%) zeros Zeros
DEF_30_CNT_SOCIAL_CIRCLE has 271324 (88.2%) zeros Zeros
OBS_60_CNT_SOCIAL_CIRCLE has 164666 (53.5%) zeros Zeros
DEF_60_CNT_SOCIAL_CIRCLE has 280721 (91.3%) zeros Zeros
DAYS_LAST_PHONE_CHANGE has 37672 (12.3%) zeros Zeros
FLAG_DOCUMENT_2 has 307498 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_3 has 89171 (29.0%) zeros Zeros
FLAG_DOCUMENT_4 has 307486 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_5 has 302863 (98.5%) zeros Zeros
FLAG_DOCUMENT_6 has 280433 (91.2%) zeros Zeros
FLAG_DOCUMENT_7 has 307452 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_8 has 282487 (91.9%) zeros Zeros
FLAG_DOCUMENT_9 has 306313 (99.6%) zeros Zeros
FLAG_DOCUMENT_10 has 307504 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_11 has 306308 (99.6%) zeros Zeros
FLAG_DOCUMENT_12 has 307509 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_13 has 306427 (99.6%) zeros Zeros
FLAG_DOCUMENT_14 has 306608 (99.7%) zeros Zeros
FLAG_DOCUMENT_15 has 307139 (99.9%) zeros Zeros
FLAG_DOCUMENT_16 has 304458 (99.0%) zeros Zeros
FLAG_DOCUMENT_17 has 307429 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_18 has 305011 (99.2%) zeros Zeros
FLAG_DOCUMENT_19 has 307328 (99.9%) zeros Zeros
FLAG_DOCUMENT_20 has 307355 (99.9%) zeros Zeros
FLAG_DOCUMENT_21 has 307408 (> 99.9%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_HOUR has 264366 (86.0%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_DAY has 264503 (86.0%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_WEEK has 257456 (83.7%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_MON has 222233 (72.3%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_QRT has 215417 (70.1%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_YEAR has 71801 (23.3%) zeros Zeros

Reproduction

Analysis started2021-06-22 16:41:04.281155
Analysis finished2021-06-22 16:41:26.855237
Duration22.57 seconds
Software versionpandas-profiling v2.12.0
Download configurationconfig.yaml

Variables

SK_ID_CURR
Real number (ℝ≥0)

UNIQUE

Distinct307511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278180.5186
Minimum100002
Maximum456255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:27.143148image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum100002
5-th percentile117945.5
Q1189145.5
median278202
Q3367142.5
95-th percentile438427.5
Maximum456255
Range356253
Interquartile range (IQR)177997

Descriptive statistics

Standard deviation102790.1753
Coefficient of variation (CV)0.3695088926
Kurtosis-1.198987778
Mean278180.5186
Median Absolute Deviation (MAD)88999
Skewness-0.001200235077
Sum8.554356945 × 1010
Variance1.056582015 × 1010
MonotonicityStrictly increasing
2021-06-22T17:41:27.287710image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1004011
 
< 0.1%
2390701
 
< 0.1%
2431641
 
< 0.1%
2308741
 
< 0.1%
2370171
 
< 0.1%
2349681
 
< 0.1%
2574951
 
< 0.1%
2554461
 
< 0.1%
2615891
 
< 0.1%
2595401
 
< 0.1%
Other values (307501)307501
> 99.9%
ValueCountFrequency (%)
1000021
< 0.1%
1000031
< 0.1%
1000041
< 0.1%
1000061
< 0.1%
1000071
< 0.1%
1000081
< 0.1%
1000091
< 0.1%
1000101
< 0.1%
1000111
< 0.1%
1000121
< 0.1%
ValueCountFrequency (%)
4562551
< 0.1%
4562541
< 0.1%
4562531
< 0.1%
4562521
< 0.1%
4562511
< 0.1%
4562491
< 0.1%
4562481
< 0.1%
4562471
< 0.1%
4562461
< 0.1%
4562451
< 0.1%

TARGET
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08072881946
Minimum0
Maximum1
Zeros282686
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:27.389638image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2724186456
Coefficient of variation (CV)3.37449064
Kurtosis7.475109389
Mean0.08072881946
Median Absolute Deviation (MAD)0
Skewness3.078158666
Sum24825
Variance0.0742119185
MonotonicityNot monotonic
2021-06-22T17:41:27.460606image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0282686
91.9%
124825
 
8.1%
ValueCountFrequency (%)
0282686
91.9%
124825
 
8.1%
ValueCountFrequency (%)
124825
 
8.1%
0282686
91.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 MiB
Cash loans
278232 
Revolving loans
29279 

Characters and Unicode

Total characters3221505
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowRevolving loans
4th rowCash loans
5th rowCash loans
ValueCountFrequency (%)
Cash loans278232
90.5%
Revolving loans29279
 
9.5%
ValueCountFrequency (%)
loans307511
50.0%
cash278232
45.2%
revolving29279
 
4.8%

Most occurring characters

ValueCountFrequency (%)
a585743
18.2%
s585743
18.2%
l336790
10.5%
o336790
10.5%
n336790
10.5%
307511
9.5%
C278232
8.6%
h278232
8.6%
v58558
 
1.8%
R29279
 
0.9%
Other values (3)87837
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2606483
80.9%
Uppercase Letter307511
 
9.5%
Space Separator307511
 
9.5%

Most frequent character per category

ValueCountFrequency (%)
a585743
22.5%
s585743
22.5%
l336790
12.9%
o336790
12.9%
n336790
12.9%
h278232
10.7%
v58558
 
2.2%
e29279
 
1.1%
i29279
 
1.1%
g29279
 
1.1%
ValueCountFrequency (%)
C278232
90.5%
R29279
 
9.5%
ValueCountFrequency (%)
307511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2913994
90.5%
Common307511
 
9.5%

Most frequent character per script

ValueCountFrequency (%)
a585743
20.1%
s585743
20.1%
l336790
11.6%
o336790
11.6%
n336790
11.6%
C278232
9.5%
h278232
9.5%
v58558
 
2.0%
R29279
 
1.0%
e29279
 
1.0%
Other values (2)58558
 
2.0%
ValueCountFrequency (%)
307511
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3221505
100.0%

Most frequent character per block

ValueCountFrequency (%)
a585743
18.2%
s585743
18.2%
l336790
10.5%
o336790
10.5%
n336790
10.5%
307511
9.5%
C278232
8.6%
h278232
8.6%
v58558
 
1.8%
R29279
 
0.9%
Other values (3)87837
 
2.7%

CODE_GENDER
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 MiB
F
202448 
M
105059 
XNA
 
4

Characters and Unicode

Total characters307519
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowF
5th rowM
ValueCountFrequency (%)
F202448
65.8%
M105059
34.2%
XNA4
 
< 0.1%
ValueCountFrequency (%)
f202448
65.8%
m105059
34.2%
xna4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
F202448
65.8%
M105059
34.2%
X4
 
< 0.1%
N4
 
< 0.1%
A4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter307519
100.0%

Most frequent character per category

ValueCountFrequency (%)
F202448
65.8%
M105059
34.2%
X4
 
< 0.1%
N4
 
< 0.1%
A4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin307519
100.0%

Most frequent character per script

ValueCountFrequency (%)
F202448
65.8%
M105059
34.2%
X4
 
< 0.1%
N4
 
< 0.1%
A4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII307519
100.0%

Most frequent character per block

ValueCountFrequency (%)
F202448
65.8%
M105059
34.2%
X4
 
< 0.1%
N4
 
< 0.1%
A4
 
< 0.1%

FLAG_OWN_CAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 MiB
N
202924 
Y
104587 

Characters and Unicode

Total characters307511
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowN
ValueCountFrequency (%)
N202924
66.0%
Y104587
34.0%
ValueCountFrequency (%)
n202924
66.0%
y104587
34.0%

Most occurring characters

ValueCountFrequency (%)
N202924
66.0%
Y104587
34.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter307511
100.0%

Most frequent character per category

ValueCountFrequency (%)
N202924
66.0%
Y104587
34.0%

Most occurring scripts

ValueCountFrequency (%)
Latin307511
100.0%

Most frequent character per script

ValueCountFrequency (%)
N202924
66.0%
Y104587
34.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII307511
100.0%

Most frequent character per block

ValueCountFrequency (%)
N202924
66.0%
Y104587
34.0%

FLAG_OWN_REALTY
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 MiB
Y
213312 
N
94199 

Characters and Unicode

Total characters307511
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY
ValueCountFrequency (%)
Y213312
69.4%
N94199
30.6%
ValueCountFrequency (%)
y213312
69.4%
n94199
30.6%

Most occurring characters

ValueCountFrequency (%)
Y213312
69.4%
N94199
30.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter307511
100.0%

Most frequent character per category

ValueCountFrequency (%)
Y213312
69.4%
N94199
30.6%

Most occurring scripts

ValueCountFrequency (%)
Latin307511
100.0%

Most frequent character per script

ValueCountFrequency (%)
Y213312
69.4%
N94199
30.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII307511
100.0%

Most frequent character per block

ValueCountFrequency (%)
Y213312
69.4%
N94199
30.6%

CNT_CHILDREN
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4170517477
Minimum0
Maximum19
Zeros215371
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:27.874521image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7221213844
Coefficient of variation (CV)1.731491088
Kurtosis7.904106359
Mean0.4170517477
Median Absolute Deviation (MAD)0
Skewness1.97460447
Sum128248
Variance0.5214592939
MonotonicityNot monotonic
2021-06-22T17:41:27.947059image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0215371
70.0%
161119
 
19.9%
226749
 
8.7%
33717
 
1.2%
4429
 
0.1%
584
 
< 0.1%
621
 
< 0.1%
77
 
< 0.1%
143
 
< 0.1%
82
 
< 0.1%
Other values (5)9
 
< 0.1%
ValueCountFrequency (%)
0215371
70.0%
161119
 
19.9%
226749
 
8.7%
33717
 
1.2%
4429
 
0.1%
584
 
< 0.1%
621
 
< 0.1%
77
 
< 0.1%
82
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
192
 
< 0.1%
143
 
< 0.1%
122
 
< 0.1%
111
 
< 0.1%
102
 
< 0.1%
92
 
< 0.1%
82
 
< 0.1%
77
 
< 0.1%
621
 
< 0.1%
584
< 0.1%

AMT_INCOME_TOTAL
Real number (ℝ≥0)

SKEWED

Distinct2548
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168797.9193
Minimum25650
Maximum117000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:28.034269image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum25650
5-th percentile67500
Q1112500
median147150
Q3202500
95-th percentile337500
Maximum117000000
Range116974350
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation237123.1463
Coefficient of variation (CV)1.404775291
Kurtosis191786.5544
Mean168797.9193
Median Absolute Deviation (MAD)43650
Skewness391.5596541
Sum5.190721696 × 1010
Variance5.62273865 × 1010
MonotonicityNot monotonic
2021-06-22T17:41:28.143184image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13500035750
 
11.6%
11250031019
 
10.1%
15750026556
 
8.6%
18000024719
 
8.0%
9000022483
 
7.3%
22500020698
 
6.7%
20250016341
 
5.3%
6750011147
 
3.6%
27000010827
 
3.5%
810006001
 
2.0%
Other values (2538)101970
33.2%
ValueCountFrequency (%)
256502
 
< 0.1%
261003
 
< 0.1%
264601
 
< 0.1%
265502
 
< 0.1%
2700066
< 0.1%
275851
 
< 0.1%
279007
 
< 0.1%
27967.51
 
< 0.1%
281611
 
< 0.1%
2835011
 
< 0.1%
ValueCountFrequency (%)
1170000001
 
< 0.1%
180000901
 
< 0.1%
135000001
 
< 0.1%
90000001
 
< 0.1%
67500001
 
< 0.1%
45000004
< 0.1%
3950059.51
 
< 0.1%
38250001
 
< 0.1%
36000002
< 0.1%
33750002
< 0.1%

AMT_CREDIT
Real number (ℝ≥0)

Distinct5603
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599025.9997
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:28.252778image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile135000
Q1270000
median513531
Q3808650
95-th percentile1350000
Maximum4050000
Range4005000
Interquartile range (IQR)538650

Descriptive statistics

Standard deviation402490.777
Coefficient of variation (CV)0.6719086938
Kurtosis1.934041301
Mean599025.9997
Median Absolute Deviation (MAD)251469
Skewness1.234778497
Sum1.842070842 × 1011
Variance1.619988256 × 1011
MonotonicityNot monotonic
2021-06-22T17:41:28.364596image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500009709
 
3.2%
6750008877
 
2.9%
2250008162
 
2.7%
1800007342
 
2.4%
2700007241
 
2.4%
9000006246
 
2.0%
2547004500
 
1.5%
5450404437
 
1.4%
8086504152
 
1.4%
1350003660
 
1.2%
Other values (5593)243185
79.1%
ValueCountFrequency (%)
45000230
0.1%
47970218
0.1%
485191
 
< 0.1%
4945519
 
< 0.1%
4950040
 
< 0.1%
4975253
 
< 0.1%
50940393
0.1%
52128115
 
< 0.1%
5276716
 
< 0.1%
5391056
 
< 0.1%
ValueCountFrequency (%)
40500008
< 0.1%
4031032.51
 
< 0.1%
40276801
 
< 0.1%
39562741
 
< 0.1%
38600191
 
< 0.1%
36000002
 
< 0.1%
33750004
< 0.1%
33121621
 
< 0.1%
32996881
 
< 0.1%
31500009
< 0.1%

AMT_ANNUITY
Real number (ℝ≥0)

Distinct13672
Distinct (%)4.4%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27108.57391
Minimum1615.5
Maximum258025.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:28.476357image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1615.5
5-th percentile9000
Q116524
median24903
Q334596
95-th percentile53325
Maximum258025.5
Range256410
Interquartile range (IQR)18072

Descriptive statistics

Standard deviation14493.73732
Coefficient of variation (CV)0.5346551008
Kurtosis7.707319915
Mean27108.57391
Median Absolute Deviation (MAD)8815.5
Skewness1.579777364
Sum8335859368
Variance210068421.4
MonotonicityNot monotonic
2021-06-22T17:41:28.582340image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90006385
 
2.1%
135005514
 
1.8%
67502279
 
0.7%
101252035
 
0.7%
378001602
 
0.5%
112501459
 
0.5%
262171453
 
0.5%
202501345
 
0.4%
123751339
 
0.4%
316531269
 
0.4%
Other values (13662)282819
92.0%
ValueCountFrequency (%)
1615.51
< 0.1%
19802
< 0.1%
1993.51
< 0.1%
20521
< 0.1%
2164.52
< 0.1%
2173.51
< 0.1%
21872
< 0.1%
22051
< 0.1%
22952
< 0.1%
2299.51
< 0.1%
ValueCountFrequency (%)
258025.51
 
< 0.1%
230161.51
 
< 0.1%
22500023
< 0.1%
220297.51
 
< 0.1%
216589.51
 
< 0.1%
215500.51
 
< 0.1%
2132914
 
< 0.1%
213160.51
 
< 0.1%
2082151
 
< 0.1%
206464.51
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ≥0)

Distinct1002
Distinct (%)0.3%
Missing278
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean538396.2074
Minimum40500
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:28.691970image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum40500
5-th percentile135000
Q1238500
median450000
Q3679500
95-th percentile1305000
Maximum4050000
Range4009500
Interquartile range (IQR)441000

Descriptive statistics

Standard deviation369446.4605
Coefficient of variation (CV)0.6861981111
Kurtosis2.431916479
Mean538396.2074
Median Absolute Deviation (MAD)225000
Skewness1.349000341
Sum1.65413082 × 1011
Variance1.364906872 × 1011
MonotonicityNot monotonic
2021-06-22T17:41:28.800207image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45000026022
 
8.5%
22500025282
 
8.2%
67500024962
 
8.1%
90000015416
 
5.0%
27000011428
 
3.7%
18000010123
 
3.3%
4545009157
 
3.0%
11250009050
 
2.9%
1350008206
 
2.7%
3150005225
 
1.7%
Other values (992)162362
52.8%
ValueCountFrequency (%)
405001
 
< 0.1%
450001169
0.4%
49500157
 
0.1%
507511
 
< 0.1%
54000290
 
0.1%
58500324
 
0.1%
59782.51
 
< 0.1%
60070.51
 
< 0.1%
63000116
 
< 0.1%
673922
 
< 0.1%
ValueCountFrequency (%)
40500008
< 0.1%
38250001
 
< 0.1%
37125001
 
< 0.1%
36000003
 
< 0.1%
35550001
 
< 0.1%
33750004
 
< 0.1%
315000011
< 0.1%
30600001
 
< 0.1%
29610001
 
< 0.1%
29250004
 
< 0.1%

NAME_TYPE_SUITE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing1292
Missing (%)0.4%
Memory size20.2 MiB
Unaccompanied
248526 
Family
40149 
Spouse, partner
 
11370
Children
 
3267
Other_B
 
1770
Other values (2)
 
1137

Characters and Unicode

Total characters3690935
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowFamily
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied
ValueCountFrequency (%)
Unaccompanied248526
80.8%
Family40149
 
13.1%
Spouse, partner11370
 
3.7%
Children3267
 
1.1%
Other_B1770
 
0.6%
Other_A866
 
0.3%
Group of people271
 
0.1%
(Missing)1292
 
0.4%
ValueCountFrequency (%)
unaccompanied248526
78.1%
family40149
 
12.6%
spouse11370
 
3.6%
partner11370
 
3.6%
children3267
 
1.0%
other_b1770
 
0.6%
other_a866
 
0.3%
of271
 
0.1%
people271
 
0.1%
group271
 
0.1%

Most occurring characters

ValueCountFrequency (%)
a548571
14.9%
n511689
13.9%
c497052
13.5%
i291942
7.9%
m288675
7.8%
e277711
7.5%
p272079
7.4%
o260709
7.1%
d251793
6.8%
U248526
6.7%
Other values (18)242188
6.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3356162
90.9%
Uppercase Letter308855
 
8.4%
Space Separator11912
 
0.3%
Other Punctuation11370
 
0.3%
Connector Punctuation2636
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
a548571
16.3%
n511689
15.2%
c497052
14.8%
i291942
8.7%
m288675
8.6%
e277711
8.3%
p272079
8.1%
o260709
7.8%
d251793
7.5%
l43687
 
1.3%
Other values (7)112254
 
3.3%
ValueCountFrequency (%)
U248526
80.5%
F40149
 
13.0%
S11370
 
3.7%
C3267
 
1.1%
O2636
 
0.9%
B1770
 
0.6%
A866
 
0.3%
G271
 
0.1%
ValueCountFrequency (%)
,11370
100.0%
ValueCountFrequency (%)
11912
100.0%
ValueCountFrequency (%)
_2636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3665017
99.3%
Common25918
 
0.7%

Most frequent character per script

ValueCountFrequency (%)
a548571
15.0%
n511689
14.0%
c497052
13.6%
i291942
8.0%
m288675
7.9%
e277711
7.6%
p272079
7.4%
o260709
7.1%
d251793
6.9%
U248526
6.8%
Other values (15)216270
 
5.9%
ValueCountFrequency (%)
11912
46.0%
,11370
43.9%
_2636
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII3690935
100.0%

Most frequent character per block

ValueCountFrequency (%)
a548571
14.9%
n511689
13.9%
c497052
13.5%
i291942
7.9%
m288675
7.8%
e277711
7.5%
p272079
7.4%
o260709
7.1%
d251793
6.8%
U248526
6.7%
Other values (18)242188
6.6%

NAME_INCOME_TYPE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.9 MiB
Working
158774 
Commercial associate
71617 
Pensioner
55362 
State servant
21703 
Unemployed
 
22
Other values (3)
 
33

Characters and Unicode

Total characters3324686
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWorking
2nd rowState servant
3rd rowWorking
4th rowWorking
5th rowWorking
ValueCountFrequency (%)
Working158774
51.6%
Commercial associate71617
23.3%
Pensioner55362
 
18.0%
State servant21703
 
7.1%
Unemployed22
 
< 0.1%
Student18
 
< 0.1%
Businessman10
 
< 0.1%
Maternity leave5
 
< 0.1%
ValueCountFrequency (%)
working158774
39.6%
commercial71617
17.9%
associate71617
17.9%
pensioner55362
 
13.8%
servant21703
 
5.4%
state21703
 
5.4%
unemployed22
 
< 0.1%
student18
 
< 0.1%
businessman10
 
< 0.1%
leave5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o357392
10.7%
i357385
10.7%
r307461
9.2%
e297451
 
8.9%
n291266
 
8.8%
a258277
 
7.8%
s220329
 
6.6%
W158774
 
4.8%
k158774
 
4.8%
g158774
 
4.8%
Other values (16)758803
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2923850
87.9%
Uppercase Letter307511
 
9.2%
Space Separator93325
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
o357392
12.2%
i357385
12.2%
r307461
10.5%
e297451
10.2%
n291266
10.0%
a258277
8.8%
s220329
7.5%
k158774
5.4%
g158774
5.4%
m143266
 
4.9%
Other values (8)373475
12.8%
ValueCountFrequency (%)
W158774
51.6%
C71617
23.3%
P55362
 
18.0%
S21721
 
7.1%
U22
 
< 0.1%
B10
 
< 0.1%
M5
 
< 0.1%
ValueCountFrequency (%)
93325
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3231361
97.2%
Common93325
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
o357392
11.1%
i357385
11.1%
r307461
9.5%
e297451
9.2%
n291266
9.0%
a258277
 
8.0%
s220329
 
6.8%
W158774
 
4.9%
k158774
 
4.9%
g158774
 
4.9%
Other values (15)665478
20.6%
ValueCountFrequency (%)
93325
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3324686
100.0%

Most frequent character per block

ValueCountFrequency (%)
o357392
10.7%
i357385
10.7%
r307461
9.2%
e297451
 
8.9%
n291266
 
8.8%
a258277
 
7.8%
s220329
 
6.6%
W158774
 
4.8%
k158774
 
4.8%
g158774
 
4.8%
Other values (16)758803
22.8%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 MiB
Secondary / secondary special
218391 
Higher education
74863 
Incomplete higher
 
10277
Lower secondary
 
3816
Academic degree
 
164

Characters and Unicode

Total characters7765556
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSecondary / secondary special
2nd rowHigher education
3rd rowSecondary / secondary special
4th rowSecondary / secondary special
5th rowSecondary / secondary special
ValueCountFrequency (%)
Secondary / secondary special218391
71.0%
Higher education74863
 
24.3%
Incomplete higher10277
 
3.3%
Lower secondary3816
 
1.2%
Academic degree164
 
0.1%
ValueCountFrequency (%)
secondary440598
41.9%
218391
20.8%
special218391
20.8%
higher85140
 
8.1%
education74863
 
7.1%
incomplete10277
 
1.0%
lower3816
 
0.4%
degree164
 
< 0.1%
academic164
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e844018
10.9%
c744457
9.6%
744293
9.6%
a734016
9.5%
r529718
 
6.8%
o529554
 
6.8%
n525738
 
6.8%
d515789
 
6.6%
y440598
 
5.7%
s440598
 
5.7%
Other values (15)1716777
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6495361
83.6%
Space Separator744293
 
9.6%
Uppercase Letter307511
 
4.0%
Other Punctuation218391
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
e844018
13.0%
c744457
11.5%
a734016
11.3%
r529718
8.2%
o529554
8.2%
n525738
8.1%
d515789
7.9%
y440598
6.8%
s440598
6.8%
i378558
5.8%
Other values (8)812317
12.5%
ValueCountFrequency (%)
S218391
71.0%
H74863
 
24.3%
I10277
 
3.3%
L3816
 
1.2%
A164
 
0.1%
ValueCountFrequency (%)
744293
100.0%
ValueCountFrequency (%)
/218391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6802872
87.6%
Common962684
 
12.4%

Most frequent character per script

ValueCountFrequency (%)
e844018
12.4%
c744457
10.9%
a734016
10.8%
r529718
7.8%
o529554
7.8%
n525738
7.7%
d515789
7.6%
y440598
 
6.5%
s440598
 
6.5%
i378558
 
5.6%
Other values (13)1119828
16.5%
ValueCountFrequency (%)
744293
77.3%
/218391
 
22.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII7765556
100.0%

Most frequent character per block

ValueCountFrequency (%)
e844018
10.9%
c744457
9.6%
744293
9.6%
a734016
9.5%
r529718
 
6.8%
o529554
 
6.8%
n525738
 
6.8%
d515789
 
6.6%
y440598
 
5.7%
s440598
 
5.7%
Other values (15)1716777
22.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.5 MiB
Married
196432 
Single / not married
45444 
Civil marriage
29775 
Separated
19770 
Widow
 
16088

Characters and Unicode

Total characters2959138
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSingle / not married
2nd rowMarried
3rd rowSingle / not married
4th rowCivil marriage
5th rowSingle / not married
ValueCountFrequency (%)
Married196432
63.9%
Single / not married45444
 
14.8%
Civil marriage29775
 
9.7%
Separated19770
 
6.4%
Widow16088
 
5.2%
Unknown2
 
< 0.1%
ValueCountFrequency (%)
married241876
51.1%
45444
 
9.6%
single45444
 
9.6%
not45444
 
9.6%
civil29775
 
6.3%
marriage29775
 
6.3%
separated19770
 
4.2%
widow16088
 
3.4%
unknown2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
r563072
19.0%
i392733
13.3%
e356635
12.1%
a340966
11.5%
d277734
9.4%
M196432
 
6.6%
166107
 
5.6%
n90894
 
3.1%
g75219
 
2.5%
l75219
 
2.5%
Other values (12)424127
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2440076
82.5%
Uppercase Letter307511
 
10.4%
Space Separator166107
 
5.6%
Other Punctuation45444
 
1.5%

Most frequent character per category

ValueCountFrequency (%)
r563072
23.1%
i392733
16.1%
e356635
14.6%
a340966
14.0%
d277734
11.4%
n90894
 
3.7%
g75219
 
3.1%
l75219
 
3.1%
m75219
 
3.1%
t65214
 
2.7%
Other values (5)127171
 
5.2%
ValueCountFrequency (%)
M196432
63.9%
S65214
 
21.2%
C29775
 
9.7%
W16088
 
5.2%
U2
 
< 0.1%
ValueCountFrequency (%)
166107
100.0%
ValueCountFrequency (%)
/45444
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2747587
92.9%
Common211551
 
7.1%

Most frequent character per script

ValueCountFrequency (%)
r563072
20.5%
i392733
14.3%
e356635
13.0%
a340966
12.4%
d277734
10.1%
M196432
 
7.1%
n90894
 
3.3%
g75219
 
2.7%
l75219
 
2.7%
m75219
 
2.7%
Other values (10)303464
11.0%
ValueCountFrequency (%)
166107
78.5%
/45444
 
21.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII2959138
100.0%

Most frequent character per block

ValueCountFrequency (%)
r563072
19.0%
i392733
13.3%
e356635
12.1%
a340966
11.5%
d277734
9.4%
M196432
 
6.6%
166107
 
5.6%
n90894
 
3.1%
g75219
 
2.5%
l75219
 
2.5%
Other values (12)424127
14.3%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.6 MiB
House / apartment
272868 
With parents
 
14840
Municipal apartment
 
11183
Rented apartment
 
4881
Office apartment
 
2617

Characters and Unicode

Total characters5166111
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment
ValueCountFrequency (%)
House / apartment272868
88.7%
With parents14840
 
4.8%
Municipal apartment11183
 
3.6%
Rented apartment4881
 
1.6%
Office apartment2617
 
0.9%
Co-op apartment1122
 
0.4%
ValueCountFrequency (%)
apartment292671
33.0%
272868
30.7%
house272868
30.7%
parents14840
 
1.7%
with14840
 
1.7%
municipal11183
 
1.3%
rented4881
 
0.5%
office2617
 
0.3%
co-op1122
 
0.1%

Most occurring characters

ValueCountFrequency (%)
t619903
12.0%
a611365
11.8%
e592758
11.5%
580379
11.2%
n323575
 
6.3%
p319816
 
6.2%
r307511
 
6.0%
m292671
 
5.7%
s287708
 
5.6%
u284051
 
5.5%
Other values (15)946374
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4004231
77.5%
Space Separator580379
 
11.2%
Uppercase Letter307511
 
6.0%
Other Punctuation272868
 
5.3%
Dash Punctuation1122
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
t619903
15.5%
a611365
15.3%
e592758
14.8%
n323575
8.1%
p319816
8.0%
r307511
7.7%
m292671
7.3%
s287708
7.2%
u284051
7.1%
o275112
6.9%
Other values (6)89761
 
2.2%
ValueCountFrequency (%)
H272868
88.7%
W14840
 
4.8%
M11183
 
3.6%
R4881
 
1.6%
O2617
 
0.9%
C1122
 
0.4%
ValueCountFrequency (%)
580379
100.0%
ValueCountFrequency (%)
/272868
100.0%
ValueCountFrequency (%)
-1122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4311742
83.5%
Common854369
 
16.5%

Most frequent character per script

ValueCountFrequency (%)
t619903
14.4%
a611365
14.2%
e592758
13.7%
n323575
7.5%
p319816
7.4%
r307511
7.1%
m292671
6.8%
s287708
6.7%
u284051
6.6%
o275112
6.4%
Other values (12)397272
9.2%
ValueCountFrequency (%)
580379
67.9%
/272868
31.9%
-1122
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5166111
100.0%

Most frequent character per block

ValueCountFrequency (%)
t619903
12.0%
a611365
11.8%
e592758
11.5%
580379
11.2%
n323575
 
6.3%
p319816
 
6.2%
r307511
 
6.0%
m292671
 
5.7%
s287708
 
5.6%
u284051
 
5.5%
Other values (15)946374
18.3%

REGION_POPULATION_RELATIVE
Real number (ℝ≥0)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02086811206
Minimum0.00029
Maximum0.072508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:29.537041image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.00029
5-th percentile0.00496
Q10.010006
median0.01885
Q30.028663
95-th percentile0.04622
Maximum0.072508
Range0.072218
Interquartile range (IQR)0.018657

Descriptive statistics

Standard deviation0.01383128012
Coefficient of variation (CV)0.66279499
Kurtosis3.260065334
Mean0.02086811206
Median Absolute Deviation (MAD)0.009193
Skewness1.488008521
Sum6417.174007
Variance0.0001913043098
MonotonicityNot monotonic
2021-06-22T17:41:29.662360image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03579216408
 
5.3%
0.0462213442
 
4.4%
0.03075512163
 
4.0%
0.02516411950
 
3.9%
0.02639211601
 
3.8%
0.03132911321
 
3.7%
0.02866311157
 
3.6%
0.0191018694
 
2.8%
0.0725088412
 
2.7%
0.0207138066
 
2.6%
Other values (71)194297
63.2%
ValueCountFrequency (%)
0.000292
 
< 0.1%
0.00053339
 
< 0.1%
0.00093828
 
< 0.1%
0.001276558
 
0.2%
0.001333235
 
0.1%
0.001417467
 
0.2%
0.0020421642
0.5%
0.0021341051
0.3%
0.002506944
0.3%
0.0030691783
0.6%
ValueCountFrequency (%)
0.0725088412
2.7%
0.0462213442
4.4%
0.03579216408
5.3%
0.0325616636
2.2%
0.03132911321
3.7%
0.03075512163
4.0%
0.02866311157
3.6%
0.02639211601
3.8%
0.02516411950
3.9%
0.024616404
 
2.1%

DAYS_BIRTH
Real number (ℝ)

Distinct17460
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16036.99507
Minimum-25229
Maximum-7489
Zeros0
Zeros (%)0.0%
Negative307511
Negative (%)100.0%
Memory size2.3 MiB
2021-06-22T17:41:29.779440image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-25229
5-th percentile-23204
Q1-19682
median-15750
Q3-12413
95-th percentile-9407
Maximum-7489
Range17740
Interquartile range (IQR)7269

Descriptive statistics

Standard deviation4363.988632
Coefficient of variation (CV)-0.2721200957
Kurtosis-1.04912577
Mean-16036.99507
Median Absolute Deviation (MAD)3630
Skewness-0.1156733117
Sum-4931552390
Variance19044396.78
MonotonicityNot monotonic
2021-06-22T17:41:29.887953image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1374943
 
< 0.1%
-1348142
 
< 0.1%
-1002041
 
< 0.1%
-1824841
 
< 0.1%
-1577140
 
< 0.1%
-1029240
 
< 0.1%
-1426739
 
< 0.1%
-1439539
 
< 0.1%
-1166439
 
< 0.1%
-1326339
 
< 0.1%
Other values (17450)307108
99.9%
ValueCountFrequency (%)
-252291
 
< 0.1%
-252012
< 0.1%
-252001
 
< 0.1%
-251972
< 0.1%
-251964
< 0.1%
-251951
 
< 0.1%
-251922
< 0.1%
-251911
 
< 0.1%
-251871
 
< 0.1%
-251861
 
< 0.1%
ValueCountFrequency (%)
-74891
 
< 0.1%
-76731
 
< 0.1%
-76762
 
< 0.1%
-76783
< 0.1%
-76791
 
< 0.1%
-76807
< 0.1%
-76812
 
< 0.1%
-76821
 
< 0.1%
-76833
< 0.1%
-76842
 
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

Distinct12574
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63815.0459
Minimum-17912
Maximum365243
Zeros2
Zeros (%)< 0.1%
Negative252135
Negative (%)82.0%
Memory size2.3 MiB
2021-06-22T17:41:29.992716image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-17912
5-th percentile-6742.5
Q1-2760
median-1213
Q3-289
95-th percentile365243
Maximum365243
Range383155
Interquartile range (IQR)2471

Descriptive statistics

Standard deviation141275.7665
Coefficient of variation (CV)2.213831621
Kurtosis0.7716123807
Mean63815.0459
Median Absolute Deviation (MAD)1091
Skewness1.664346198
Sum1.962382858 × 1010
Variance1.995884221 × 1010
MonotonicityNot monotonic
2021-06-22T17:41:30.092356image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36524355374
 
18.0%
-200156
 
0.1%
-224152
 
< 0.1%
-230151
 
< 0.1%
-199151
 
< 0.1%
-212150
 
< 0.1%
-229143
 
< 0.1%
-384143
 
< 0.1%
-231140
 
< 0.1%
-207138
 
< 0.1%
Other values (12564)250813
81.6%
ValueCountFrequency (%)
-179121
< 0.1%
-175831
< 0.1%
-175461
< 0.1%
-175311
< 0.1%
-175221
< 0.1%
-171701
< 0.1%
-171391
< 0.1%
-168521
< 0.1%
-168491
< 0.1%
-168361
< 0.1%
ValueCountFrequency (%)
36524355374
18.0%
02
 
< 0.1%
-11
 
< 0.1%
-22
 
< 0.1%
-33
 
< 0.1%
-44
 
< 0.1%
-51
 
< 0.1%
-62
 
< 0.1%
-71
 
< 0.1%
-82
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct15688
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4986.120328
Minimum-24672
Maximum0
Zeros80
Zeros (%)< 0.1%
Negative307431
Negative (%)> 99.9%
Memory size2.3 MiB
2021-06-22T17:41:30.345016image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-24672
5-th percentile-11416
Q1-7479.5
median-4504
Q3-2010
95-th percentile-330
Maximum0
Range24672
Interquartile range (IQR)5469.5

Descriptive statistics

Standard deviation3522.886321
Coefficient of variation (CV)-0.706538569
Kurtosis-0.3213466019
Mean-4986.120328
Median Absolute Deviation (MAD)2699
Skewness-0.5908716157
Sum-1533286848
Variance12410728.03
MonotonicityNot monotonic
2021-06-22T17:41:30.447375image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1113
 
< 0.1%
-798
 
< 0.1%
-696
 
< 0.1%
-492
 
< 0.1%
-292
 
< 0.1%
-586
 
< 0.1%
-984
 
< 0.1%
-384
 
< 0.1%
080
 
< 0.1%
-2180
 
< 0.1%
Other values (15678)306606
99.7%
ValueCountFrequency (%)
-246721
< 0.1%
-237381
< 0.1%
-234161
< 0.1%
-229281
< 0.1%
-228581
< 0.1%
-227011
< 0.1%
-224421
< 0.1%
-223921
< 0.1%
-221131
< 0.1%
-218871
< 0.1%
ValueCountFrequency (%)
080
< 0.1%
-1113
< 0.1%
-292
< 0.1%
-384
< 0.1%
-492
< 0.1%
-586
< 0.1%
-696
< 0.1%
-798
< 0.1%
-865
< 0.1%
-984
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct6168
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2994.202373
Minimum-7197
Maximum0
Zeros16
Zeros (%)< 0.1%
Negative307495
Negative (%)> 99.9%
Memory size2.3 MiB
2021-06-22T17:41:30.561783image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-7197
5-th percentile-4944
Q1-4299
median-3254
Q3-1720
95-th percentile-375
Maximum0
Range7197
Interquartile range (IQR)2579

Descriptive statistics

Standard deviation1509.450419
Coefficient of variation (CV)-0.5041243813
Kurtosis-1.106807894
Mean-2994.202373
Median Absolute Deviation (MAD)1186
Skewness0.3493274932
Sum-920750166
Variance2278440.567
MonotonicityNot monotonic
2021-06-22T17:41:30.666274image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4053169
 
0.1%
-4095162
 
0.1%
-4046161
 
0.1%
-4417159
 
0.1%
-4256158
 
0.1%
-4151157
 
0.1%
-4032157
 
0.1%
-4200156
 
0.1%
-4214155
 
0.1%
-4171155
 
0.1%
Other values (6158)305922
99.5%
ValueCountFrequency (%)
-71971
< 0.1%
-65511
< 0.1%
-63831
< 0.1%
-63371
< 0.1%
-62741
< 0.1%
-62651
< 0.1%
-62631
< 0.1%
-62591
< 0.1%
-62581
< 0.1%
-62561
< 0.1%
ValueCountFrequency (%)
016
 
< 0.1%
-164
< 0.1%
-250
< 0.1%
-351
< 0.1%
-457
< 0.1%
-563
< 0.1%
-681
< 0.1%
-793
< 0.1%
-886
< 0.1%
-961
< 0.1%

OWN_CAR_AGE
Real number (ℝ≥0)

MISSING

Distinct62
Distinct (%)0.1%
Missing202929
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean12.06109082
Minimum0
Maximum91
Zeros2134
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:30.799454image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile30
Maximum91
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.94481158
Coefficient of variation (CV)0.9903591443
Kurtosis9.214945323
Mean12.06109082
Median Absolute Deviation (MAD)5
Skewness2.745422131
Sum1261373
Variance142.6785237
MonotonicityNot monotonic
2021-06-22T17:41:30.922593image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77424
 
2.4%
66382
 
2.1%
36370
 
2.1%
85887
 
1.9%
25852
 
1.9%
45557
 
1.8%
15280
 
1.7%
95020
 
1.6%
104806
 
1.6%
144594
 
1.5%
Other values (52)47410
 
15.4%
(Missing)202929
66.0%
ValueCountFrequency (%)
02134
 
0.7%
15280
1.7%
25852
1.9%
36370
2.1%
45557
1.8%
53595
1.2%
66382
2.1%
77424
2.4%
85887
1.9%
95020
1.6%
ValueCountFrequency (%)
912
 
< 0.1%
691
 
< 0.1%
65891
 
0.3%
642443
0.8%
632
 
< 0.1%
571
 
< 0.1%
561
 
< 0.1%
554
 
< 0.1%
5412
 
< 0.1%
521
 
< 0.1%

FLAG_MOBIL
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999967481
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.013515image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.001803307015
Coefficient of variation (CV)0.00180331288
Kurtosis307511
Mean0.9999967481
Median Absolute Deviation (MAD)0
Skewness-554.5367436
Sum307510
Variance3.251916192 × 10-6
MonotonicityNot monotonic
2021-06-22T17:41:31.087797image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1307510
> 99.9%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
1307510
> 99.9%
ValueCountFrequency (%)
1307510
> 99.9%
01
 
< 0.1%

FLAG_EMP_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8198893698
Minimum0
Maximum1
Zeros55386
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.171916image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3842801989
Coefficient of variation (CV)0.4686976232
Kurtosis0.7718519499
Mean0.8198893698
Median Absolute Deviation (MAD)0
Skewness-1.664886462
Sum252125
Variance0.1476712713
MonotonicityNot monotonic
2021-06-22T17:41:31.244152image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1252125
82.0%
055386
 
18.0%
ValueCountFrequency (%)
055386
 
18.0%
1252125
82.0%
ValueCountFrequency (%)
1252125
82.0%
055386
 
18.0%

FLAG_WORK_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1993684779
Minimum0
Maximum1
Zeros246203
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.326644image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3995262282
Coefficient of variation (CV)2.003958863
Kurtosis0.2648759067
Mean0.1993684779
Median Absolute Deviation (MAD)0
Skewness1.504949894
Sum61308
Variance0.159621207
MonotonicityNot monotonic
2021-06-22T17:41:31.393809image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0246203
80.1%
161308
 
19.9%
ValueCountFrequency (%)
0246203
80.1%
161308
 
19.9%
ValueCountFrequency (%)
161308
 
19.9%
0246203
80.1%

FLAG_CONT_MOBILE
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9981334001
Minimum0
Maximum1
Zeros574
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.460380image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04316389414
Coefficient of variation (CV)0.04324461454
Kurtosis530.7439687
Mean0.9981334001
Median Absolute Deviation (MAD)0
Skewness-23.08117235
Sum306937
Variance0.001863121758
MonotonicityNot monotonic
2021-06-22T17:41:31.538589image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1306937
99.8%
0574
 
0.2%
ValueCountFrequency (%)
0574
 
0.2%
1306937
99.8%
ValueCountFrequency (%)
1306937
99.8%
0574
 
0.2%

FLAG_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2810663684
Minimum0
Maximum1
Zeros221080
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.610119image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4495205469
Coefficient of variation (CV)1.599339506
Kurtosis-1.051170063
Mean0.2810663684
Median Absolute Deviation (MAD)0
Skewness0.974082529
Sum86431
Variance0.202068722
MonotonicityNot monotonic
2021-06-22T17:41:31.688991image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0221080
71.9%
186431
 
28.1%
ValueCountFrequency (%)
0221080
71.9%
186431
 
28.1%
ValueCountFrequency (%)
186431
 
28.1%
0221080
71.9%

FLAG_EMAIL
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05671992221
Minimum0
Maximum1
Zeros290069
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:31.774454image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2313070397
Coefficient of variation (CV)4.078056364
Kurtosis12.690846
Mean0.05671992221
Median Absolute Deviation (MAD)0
Skewness3.832853175
Sum17442
Variance0.05350294663
MonotonicityNot monotonic
2021-06-22T17:41:31.891782image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0290069
94.3%
117442
 
5.7%
ValueCountFrequency (%)
0290069
94.3%
117442
 
5.7%
ValueCountFrequency (%)
117442
 
5.7%
0290069
94.3%

OCCUPATION_TYPE
Categorical

MISSING

Distinct18
Distinct (%)< 0.1%
Missing96391
Missing (%)31.3%
Memory size16.5 MiB
Laborers
55186 
Sales staff
32102 
Core staff
27570 
Managers
21371 
Drivers
18603 
Other values (13)
56288 

Characters and Unicode

Total characters2227630
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLaborers
2nd rowCore staff
3rd rowLaborers
4th rowLaborers
5th rowCore staff
ValueCountFrequency (%)
Laborers55186
17.9%
Sales staff32102
 
10.4%
Core staff27570
 
9.0%
Managers21371
 
6.9%
Drivers18603
 
6.0%
High skill tech staff11380
 
3.7%
Accountants9813
 
3.2%
Medicine staff8537
 
2.8%
Security staff6721
 
2.2%
Cooking staff5946
 
1.9%
Other values (8)13891
 
4.5%
(Missing)96391
31.3%
ValueCountFrequency (%)
staff101998
29.9%
laborers57279
16.8%
sales32102
 
9.4%
core27570
 
8.1%
managers21371
 
6.3%
drivers18603
 
5.4%
skill11380
 
3.3%
tech11380
 
3.3%
high11380
 
3.3%
accountants9813
 
2.9%
Other values (13)38498
 
11.3%

Most occurring characters

ValueCountFrequency (%)
s260695
11.7%
a256742
11.5%
r218036
9.8%
e212822
 
9.6%
f203996
 
9.2%
t146532
 
6.6%
130254
 
5.8%
o108647
 
4.9%
i85807
 
3.9%
n66885
 
3.0%
Other values (26)537214
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1879633
84.4%
Uppercase Letter214302
 
9.6%
Space Separator130254
 
5.8%
Dash Punctuation2093
 
0.1%
Other Punctuation1348
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
s260695
13.9%
a256742
13.7%
r218036
11.6%
e212822
11.3%
f203996
10.9%
t146532
7.8%
o108647
5.8%
i85807
 
4.6%
n66885
 
3.6%
l64452
 
3.4%
Other values (11)255019
13.6%
ValueCountFrequency (%)
L59372
27.7%
S40128
18.7%
C38169
17.8%
M29908
14.0%
D18603
 
8.7%
H11943
 
5.6%
A9813
 
4.6%
P2652
 
1.2%
W1348
 
0.6%
R1314
 
0.6%
Other values (2)1052
 
0.5%
ValueCountFrequency (%)
130254
100.0%
ValueCountFrequency (%)
/1348
100.0%
ValueCountFrequency (%)
-2093
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2093935
94.0%
Common133695
 
6.0%

Most frequent character per script

ValueCountFrequency (%)
s260695
12.5%
a256742
12.3%
r218036
10.4%
e212822
10.2%
f203996
9.7%
t146532
 
7.0%
o108647
 
5.2%
i85807
 
4.1%
n66885
 
3.2%
l64452
 
3.1%
Other values (23)469321
22.4%
ValueCountFrequency (%)
130254
97.4%
-2093
 
1.6%
/1348
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2227630
100.0%

Most frequent character per block

ValueCountFrequency (%)
s260695
11.7%
a256742
11.5%
r218036
9.8%
e212822
 
9.6%
f203996
 
9.2%
t146532
 
6.6%
130254
 
5.8%
o108647
 
4.9%
i85807
 
3.9%
n66885
 
3.0%
Other values (26)537214
24.1%

CNT_FAM_MEMBERS
Real number (ℝ≥0)

Distinct17
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.15266545
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:32.091342image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9106815692
Coefficient of variation (CV)0.4230483511
Kurtosis2.801976981
Mean2.15266545
Median Absolute Deviation (MAD)0
Skewness0.9875428137
Sum661964
Variance0.8293409204
MonotonicityNot monotonic
2021-06-22T17:41:32.165131image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2158357
51.5%
167847
22.1%
352601
 
17.1%
424697
 
8.0%
53478
 
1.1%
6408
 
0.1%
781
 
< 0.1%
820
 
< 0.1%
96
 
< 0.1%
103
 
< 0.1%
Other values (7)11
 
< 0.1%
ValueCountFrequency (%)
167847
22.1%
2158357
51.5%
352601
 
17.1%
424697
 
8.0%
53478
 
1.1%
6408
 
0.1%
781
 
< 0.1%
820
 
< 0.1%
96
 
< 0.1%
103
 
< 0.1%
ValueCountFrequency (%)
202
 
< 0.1%
162
 
< 0.1%
151
 
< 0.1%
142
 
< 0.1%
131
 
< 0.1%
122
 
< 0.1%
111
 
< 0.1%
103
 
< 0.1%
96
 
< 0.1%
820
< 0.1%

REGION_RATING_CLIENT
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.052463164
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:32.252715image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5090339028
Coefficient of variation (CV)0.2480112246
Kurtosis0.8004164375
Mean2.052463164
Median Absolute Deviation (MAD)0
Skewness0.08746834971
Sum631155
Variance0.2591155142
MonotonicityNot monotonic
2021-06-22T17:41:32.375713image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2226984
73.8%
348330
 
15.7%
132197
 
10.5%
ValueCountFrequency (%)
132197
 
10.5%
2226984
73.8%
348330
 
15.7%
ValueCountFrequency (%)
348330
 
15.7%
2226984
73.8%
132197
 
10.5%

REGION_RATING_CLIENT_W_CITY
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.031520824
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:32.515212image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5027370329
Coefficient of variation (CV)0.2474683139
Kurtosis0.9335838303
Mean2.031520824
Median Absolute Deviation (MAD)0
Skewness0.05972981215
Sum624715
Variance0.2527445243
MonotonicityNot monotonic
2021-06-22T17:41:32.596164image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2229484
74.6%
343860
 
14.3%
134167
 
11.1%
ValueCountFrequency (%)
134167
 
11.1%
2229484
74.6%
343860
 
14.3%
ValueCountFrequency (%)
343860
 
14.3%
2229484
74.6%
134167
 
11.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.8 MiB
TUESDAY
53901 
WEDNESDAY
51934 
MONDAY
50714 
THURSDAY
50591 
FRIDAY
50338 
Other values (2)
50033 

Characters and Unicode

Total characters2223655
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWEDNESDAY
2nd rowMONDAY
3rd rowMONDAY
4th rowWEDNESDAY
5th rowTHURSDAY
ValueCountFrequency (%)
TUESDAY53901
17.5%
WEDNESDAY51934
16.9%
MONDAY50714
16.5%
THURSDAY50591
16.5%
FRIDAY50338
16.4%
SATURDAY33852
11.0%
SUNDAY16181
 
5.3%
ValueCountFrequency (%)
tuesday53901
17.5%
wednesday51934
16.9%
monday50714
16.5%
thursday50591
16.5%
friday50338
16.4%
saturday33852
11.0%
sunday16181
 
5.3%

Most occurring characters

ValueCountFrequency (%)
D359445
16.2%
A341363
15.4%
Y307511
13.8%
S206459
9.3%
E157769
7.1%
U154525
6.9%
T138344
 
6.2%
R134781
 
6.1%
N118829
 
5.3%
W51934
 
2.3%
Other values (5)252695
11.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2223655
100.0%

Most frequent character per category

ValueCountFrequency (%)
D359445
16.2%
A341363
15.4%
Y307511
13.8%
S206459
9.3%
E157769
7.1%
U154525
6.9%
T138344
 
6.2%
R134781
 
6.1%
N118829
 
5.3%
W51934
 
2.3%
Other values (5)252695
11.4%

Most occurring scripts

ValueCountFrequency (%)
Latin2223655
100.0%

Most frequent character per script

ValueCountFrequency (%)
D359445
16.2%
A341363
15.4%
Y307511
13.8%
S206459
9.3%
E157769
7.1%
U154525
6.9%
T138344
 
6.2%
R134781
 
6.1%
N118829
 
5.3%
W51934
 
2.3%
Other values (5)252695
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII2223655
100.0%

Most frequent character per block

ValueCountFrequency (%)
D359445
16.2%
A341363
15.4%
Y307511
13.8%
S206459
9.3%
E157769
7.1%
U154525
6.9%
T138344
 
6.2%
R134781
 
6.1%
N118829
 
5.3%
W51934
 
2.3%
Other values (5)252695
11.4%

HOUR_APPR_PROCESS_START
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06341887
Minimum0
Maximum23
Zeros40
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:32.830137image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.265832255
Coefficient of variation (CV)0.270721948
Kurtosis-0.1941728655
Mean12.06341887
Median Absolute Deviation (MAD)2
Skewness-0.02802445946
Sum3709634
Variance10.66566032
MonotonicityNot monotonic
2021-06-22T17:41:32.952283image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1037722
12.3%
1137229
12.1%
1234233
11.1%
1330959
10.1%
1427682
9.0%
927384
8.9%
1524839
8.1%
1620385
6.6%
815127
4.9%
1714900
 
4.8%
Other values (14)37051
12.0%
ValueCountFrequency (%)
040
 
< 0.1%
186
 
< 0.1%
2305
 
0.1%
31230
 
0.4%
42090
 
0.7%
53638
 
1.2%
65842
 
1.9%
79131
 
3.0%
815127
4.9%
927384
8.9%
ValueCountFrequency (%)
2341
 
< 0.1%
22150
 
< 0.1%
21405
 
0.1%
201196
 
0.4%
193848
 
1.3%
189049
 
2.9%
1714900
4.8%
1620385
6.6%
1524839
8.1%
1427682
9.0%

REG_REGION_NOT_LIVE_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0151441737
Minimum0
Maximum1
Zeros302854
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:33.325163image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1221264763
Coefficient of variation (CV)8.064254852
Kurtosis61.04838402
Mean0.0151441737
Median Absolute Deviation (MAD)0
Skewness7.940276253
Sum4657
Variance0.01491487621
MonotonicityNot monotonic
2021-06-22T17:41:33.436515image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0302854
98.5%
14657
 
1.5%
ValueCountFrequency (%)
0302854
98.5%
14657
 
1.5%
ValueCountFrequency (%)
14657
 
1.5%
0302854
98.5%

REG_REGION_NOT_WORK_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05076891558
Minimum0
Maximum1
Zeros291899
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:33.527062image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2195258288
Coefficient of variation (CV)4.324020442
Kurtosis14.75083559
Mean0.05076891558
Median Absolute Deviation (MAD)0
Skewness4.092766748
Sum15612
Variance0.04819158951
MonotonicityNot monotonic
2021-06-22T17:41:33.611403image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0291899
94.9%
115612
 
5.1%
ValueCountFrequency (%)
0291899
94.9%
115612
 
5.1%
ValueCountFrequency (%)
115612
 
5.1%
0291899
94.9%

LIVE_REGION_NOT_WORK_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04065870814
Minimum0
Maximum1
Zeros295008
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:33.709497image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1974986188
Coefficient of variation (CV)4.857474028
Kurtosis19.63769792
Mean0.04065870814
Median Absolute Deviation (MAD)0
Skewness4.651620169
Sum12503
Variance0.03900570444
MonotonicityNot monotonic
2021-06-22T17:41:33.796409image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0295008
95.9%
112503
 
4.1%
ValueCountFrequency (%)
0295008
95.9%
112503
 
4.1%
ValueCountFrequency (%)
112503
 
4.1%
0295008
95.9%

REG_CITY_NOT_LIVE_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07817281333
Minimum0
Maximum1
Zeros283472
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:33.880162image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2684437724
Coefficient of variation (CV)3.433978655
Kurtosis7.877120671
Mean0.07817281333
Median Absolute Deviation (MAD)0
Skewness3.142780527
Sum24039
Variance0.07206205893
MonotonicityNot monotonic
2021-06-22T17:41:33.955785image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0283472
92.2%
124039
 
7.8%
ValueCountFrequency (%)
0283472
92.2%
124039
 
7.8%
ValueCountFrequency (%)
124039
 
7.8%
0283472
92.2%

REG_CITY_NOT_WORK_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2304535448
Minimum0
Maximum1
Zeros236644
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:34.029261image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4211238359
Coefficient of variation (CV)1.827369748
Kurtosis-0.3612503173
Mean0.2304535448
Median Absolute Deviation (MAD)0
Skewness1.280137505
Sum70867
Variance0.1773452852
MonotonicityNot monotonic
2021-06-22T17:41:34.101752image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0236644
77.0%
170867
 
23.0%
ValueCountFrequency (%)
0236644
77.0%
170867
 
23.0%
ValueCountFrequency (%)
170867
 
23.0%
0236644
77.0%

LIVE_CITY_NOT_WORK_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1795545525
Minimum0
Maximum1
Zeros252296
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:34.184314image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3838166154
Coefficient of variation (CV)2.137604477
Kurtosis0.7882204506
Mean0.1795545525
Median Absolute Deviation (MAD)0
Skewness1.669794995
Sum55215
Variance0.1473151942
MonotonicityNot monotonic
2021-06-22T17:41:34.254482image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0252296
82.0%
155215
 
18.0%
ValueCountFrequency (%)
0252296
82.0%
155215
 
18.0%
ValueCountFrequency (%)
155215
 
18.0%
0252296
82.0%

ORGANIZATION_TYPE
Categorical

HIGH CARDINALITY

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 MiB
Business Entity Type 3
67992 
XNA
55374 
Self-employed
38412 
Other
16683 
Medicine
 
11193
Other values (53)
117857 

Characters and Unicode

Total characters3851893
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBusiness Entity Type 3
2nd rowSchool
3rd rowGovernment
4th rowBusiness Entity Type 3
5th rowReligion
ValueCountFrequency (%)
Business Entity Type 367992
22.1%
XNA55374
18.0%
Self-employed38412
12.5%
Other16683
 
5.4%
Medicine11193
 
3.6%
Business Entity Type 210553
 
3.4%
Government10404
 
3.4%
School8893
 
2.9%
Trade: type 77831
 
2.5%
Kindergarten6880
 
2.2%
Other values (48)73296
23.8%
ValueCountFrequency (%)
type122145
19.1%
entity84529
13.2%
business84529
13.2%
375949
11.9%
xna55374
8.7%
self-employed38412
 
6.0%
other16683
 
2.6%
215115
 
2.4%
trade14315
 
2.2%
industry14311
 
2.2%
Other values (40)117247
18.4%

Most occurring characters

ValueCountFrequency (%)
e435708
 
11.3%
331098
 
8.6%
t300843
 
7.8%
s298716
 
7.8%
y270089
 
7.0%
n264927
 
6.9%
i237248
 
6.2%
p169547
 
4.4%
u121814
 
3.2%
r117240
 
3.0%
Other values (42)1304663
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2729777
70.9%
Uppercase Letter589596
 
15.3%
Space Separator331098
 
8.6%
Decimal Number125394
 
3.3%
Dash Punctuation38412
 
1.0%
Other Punctuation37616
 
1.0%

Most frequent character per category

ValueCountFrequency (%)
e435708
16.0%
t300843
11.0%
s298716
10.9%
y270089
9.9%
n264927
9.7%
i237248
8.7%
p169547
 
6.2%
u121814
 
4.5%
r117240
 
4.3%
l99538
 
3.6%
Other values (11)414107
15.2%
ValueCountFrequency (%)
T108411
18.4%
B87036
14.8%
E86039
14.6%
A58257
9.9%
X55374
9.4%
N55374
9.4%
S54406
9.2%
O16683
 
2.8%
M16118
 
2.7%
I14908
 
2.5%
Other values (8)36990
 
6.3%
ValueCountFrequency (%)
376016
60.6%
215484
 
12.3%
113525
 
10.8%
79138
 
7.3%
46339
 
5.1%
93368
 
2.7%
6743
 
0.6%
5648
 
0.5%
0109
 
0.1%
824
 
< 0.1%
ValueCountFrequency (%)
331098
100.0%
ValueCountFrequency (%)
-38412
100.0%
ValueCountFrequency (%)
:37616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3319373
86.2%
Common532520
 
13.8%

Most frequent character per script

ValueCountFrequency (%)
e435708
13.1%
t300843
 
9.1%
s298716
 
9.0%
y270089
 
8.1%
n264927
 
8.0%
i237248
 
7.1%
p169547
 
5.1%
u121814
 
3.7%
r117240
 
3.5%
T108411
 
3.3%
Other values (29)994830
30.0%
ValueCountFrequency (%)
331098
62.2%
376016
 
14.3%
-38412
 
7.2%
:37616
 
7.1%
215484
 
2.9%
113525
 
2.5%
79138
 
1.7%
46339
 
1.2%
93368
 
0.6%
6743
 
0.1%
Other values (3)781
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3851893
100.0%

Most frequent character per block

ValueCountFrequency (%)
e435708
 
11.3%
331098
 
8.6%
t300843
 
7.8%
s298716
 
7.8%
y270089
 
7.0%
n264927
 
6.9%
i237248
 
6.2%
p169547
 
4.4%
u121814
 
3.2%
r117240
 
3.0%
Other values (42)1304663
33.9%

EXT_SOURCE_1
Real number (ℝ≥0)

MISSING

Distinct114584
Distinct (%)85.4%
Missing173378
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean0.5021298057
Minimum0.01456813241
Maximum0.9626927706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:34.482440image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.01456813241
5-th percentile0.1580212307
Q10.3340072887
median0.5059979305
Q30.6750525982
95-th percentile0.8322601466
Maximum0.9626927706
Range0.9481246381
Interquartile range (IQR)0.3410453096

Descriptive statistics

Standard deviation0.2110622493
Coefficient of variation (CV)0.4203340389
Kurtosis-0.9651552848
Mean0.5021298057
Median Absolute Deviation (MAD)0.1705072305
Skewness-0.0687550587
Sum67352.17722
Variance0.04454727307
MonotonicityNot monotonic
2021-06-22T17:41:34.592952image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54642640865
 
< 0.1%
0.59846869285
 
< 0.1%
0.62270663475
 
< 0.1%
0.60515166125
 
< 0.1%
0.35632266445
 
< 0.1%
0.66773956365
 
< 0.1%
0.4439821185
 
< 0.1%
0.58101479565
 
< 0.1%
0.528197435
 
< 0.1%
0.76572369845
 
< 0.1%
Other values (114574)134083
43.6%
(Missing)173378
56.4%
ValueCountFrequency (%)
0.014568132411
< 0.1%
0.01469148241
< 0.1%
0.01505292131
< 0.1%
0.015600080581
< 0.1%
0.017094657791
< 0.1%
0.017176538771
< 0.1%
0.017394409411
< 0.1%
0.017755658751
< 0.1%
0.017896804811
< 0.1%
0.018333565131
< 0.1%
ValueCountFrequency (%)
0.96269277061
< 0.1%
0.95162396221
< 0.1%
0.94764938541
< 0.1%
0.94609761441
< 0.1%
0.94607552151
< 0.1%
0.94574128781
< 0.1%
0.94441954261
< 0.1%
0.94398223871
< 0.1%
0.94325755541
< 0.1%
0.94268045441
< 0.1%

EXT_SOURCE_2
Real number (ℝ≥0)

Distinct119831
Distinct (%)39.1%
Missing660
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.5143926741
Minimum8.173616519 × 10-8
Maximum0.8549996664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:34.797485image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum8.173616519 × 10-8
5-th percentile0.133299146
Q10.3924574162
median0.5659614261
Q30.6636170897
95-th percentile0.7477341422
Maximum0.8549996664
Range0.8549995847
Interquartile range (IQR)0.2711596736

Descriptive statistics

Standard deviation0.191060155
Coefficient of variation (CV)0.3714286081
Kurtosis-0.2691308299
Mean0.5143926741
Median Absolute Deviation (MAD)0.1190824124
Skewness-0.793576045
Sum157841.9064
Variance0.03650398282
MonotonicityNot monotonic
2021-06-22T17:41:34.915401image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2858978721721
 
0.2%
0.2622583692417
 
0.1%
0.2652563402343
 
0.1%
0.1596792335322
 
0.1%
0.2653117485306
 
0.1%
0.2665197754244
 
0.1%
0.263143591243
 
0.1%
0.1621445677238
 
0.1%
0.162192106234
 
0.1%
0.1631870355184
 
0.1%
Other values (119821)303599
98.7%
(Missing)660
 
0.2%
ValueCountFrequency (%)
8.173616519 × 10-81
< 0.1%
1.315955581 × 10-61
< 0.1%
5.002108762 × 10-61
< 0.1%
5.600337749 × 10-61
< 0.1%
5.939650929 × 10-61
< 0.1%
9.936476188 × 10-61
< 0.1%
1.031078214 × 10-51
< 0.1%
1.14701697 × 10-51
< 0.1%
1.179395173 × 10-51
< 0.1%
1.27231438 × 10-51
< 0.1%
ValueCountFrequency (%)
0.854999666426
< 0.1%
0.82171421281
 
< 0.1%
0.82139362741
 
< 0.1%
0.82061594421
 
< 0.1%
0.82060950611
 
< 0.1%
0.82048714711
 
< 0.1%
0.81983238771
 
< 0.1%
0.8185757451
 
< 0.1%
0.81855625891
 
< 0.1%
0.81840356161
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ≥0)

MISSING

Distinct814
Distinct (%)0.3%
Missing60965
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.5108529062
Minimum0.0005272652387
Maximum0.8960095495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:35.035498image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005272652387
5-th percentile0.1547436313
Q10.3706496323
median0.5352762505
Q30.6690566948
95-th percentile0.7862666147
Maximum0.8960095495
Range0.8954822843
Interquartile range (IQR)0.2984070625

Descriptive statistics

Standard deviation0.1948443645
Coefficient of variation (CV)0.3814099168
Kurtosis-0.663463054
Mean0.5108529062
Median Absolute Deviation (MAD)0.1459374586
Skewness-0.4093904596
Sum125948.7406
Variance0.03796432636
MonotonicityNot monotonic
2021-06-22T17:41:35.138699image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.74630021311460
 
0.5%
0.71363139971315
 
0.4%
0.69409264251276
 
0.4%
0.67065175311191
 
0.4%
0.6528965521154
 
0.4%
0.58148370581141
 
0.4%
0.68947914261138
 
0.4%
0.59545620291136
 
0.4%
0.55494676851132
 
0.4%
0.62122633811109
 
0.4%
Other values (804)234494
76.3%
(Missing)60965
 
19.8%
ValueCountFrequency (%)
0.0005272652387886
0.3%
0.011345719431
 
< 0.1%
0.012715923861
 
< 0.1%
0.013948465581
 
< 0.1%
0.014148265521
 
< 0.1%
0.014556364931
 
< 0.1%
0.016078117151
 
< 0.1%
0.016540948161
 
< 0.1%
0.016777251362
 
< 0.1%
0.017016871981
 
< 0.1%
ValueCountFrequency (%)
0.89600954951
 
< 0.1%
0.89397607462
 
< 0.1%
0.88766420181
 
< 0.1%
0.88548839423
 
< 0.1%
0.882530312826
< 0.1%
0.8810265757
 
< 0.1%
0.880268480438
< 0.1%
0.87950621591
 
< 0.1%
0.87873976713
 
< 0.1%
0.87719425826
 
< 0.1%

APARTMENTS_AVG
Real number (ℝ≥0)

MISSING

Distinct2339
Distinct (%)1.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1174404992
Minimum0
Maximum1
Zeros751
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:35.252442image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0577
median0.0876
Q30.1485
95-th percentile0.3268
Maximum1
Range1
Interquartile range (IQR)0.0908

Descriptive statistics

Standard deviation0.1082402913
Coefficient of variation (CV)0.9216606883
Kurtosis11.39376679
Mean0.1174404992
Median Absolute Deviation (MAD)0.0433
Skewness2.641835786
Sum17786.3636
Variance0.01171596066
MonotonicityNot monotonic
2021-06-22T17:41:35.361832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08256663
 
2.2%
0.06196332
 
2.1%
0.09284404
 
1.4%
0.07223986
 
1.3%
0.00823507
 
1.1%
0.01653027
 
1.0%
0.10312892
 
0.9%
0.14852769
 
0.9%
0.01242721
 
0.9%
0.07422231
 
0.7%
Other values (2329)112918
36.7%
(Missing)156061
50.7%
ValueCountFrequency (%)
0751
0.2%
0.001197
 
0.1%
0.00141
 
< 0.1%
0.00156
 
< 0.1%
0.00171
 
< 0.1%
0.0021792
0.3%
0.00243
 
< 0.1%
0.002612
 
< 0.1%
0.00272
 
< 0.1%
0.0031378
0.1%
ValueCountFrequency (%)
1147
< 0.1%
0.99072
 
< 0.1%
0.98971
 
< 0.1%
0.98767
 
< 0.1%
0.98149
 
< 0.1%
0.98041
 
< 0.1%
0.97631
 
< 0.1%
0.97011
 
< 0.1%
0.9671
 
< 0.1%
0.9661
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3780
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08844221905
Minimum0
Maximum1
Zeros14745
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:35.476192image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0442
median0.0763
Q30.1122
95-th percentile0.2237
Maximum1
Range1
Interquartile range (IQR)0.068

Descriptive statistics

Standard deviation0.08243815874
Coefficient of variation (CV)0.9321131878
Kurtosis25.93012027
Mean0.08844221905
Median Absolute Deviation (MAD)0.034
Skewness3.566306126
Sum11282.397
Variance0.006796050016
MonotonicityNot monotonic
2021-06-22T17:41:35.586684image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014745
 
4.8%
0.0545251
 
0.1%
0.0818251
 
0.1%
0.0727248
 
0.1%
0.1091246
 
0.1%
0.0796245
 
0.1%
0.08239
 
0.1%
0.0805230
 
0.1%
0.0764220
 
0.1%
0.0793211
 
0.1%
Other values (3770)110682
36.0%
(Missing)179943
58.5%
ValueCountFrequency (%)
014745
4.8%
0.000199
 
< 0.1%
0.000238
 
< 0.1%
0.00038
 
< 0.1%
0.000433
 
< 0.1%
0.000547
 
< 0.1%
0.000610
 
< 0.1%
0.000717
 
< 0.1%
0.000823
 
< 0.1%
0.000941
 
< 0.1%
ValueCountFrequency (%)
1130
< 0.1%
0.99451
 
< 0.1%
0.96942
 
< 0.1%
0.96821
 
< 0.1%
0.96771
 
< 0.1%
0.96363
 
< 0.1%
0.94842
 
< 0.1%
0.94314
 
< 0.1%
0.93977
 
< 0.1%
0.9231
 
< 0.1%

YEARS_BEGINEXPLUATATION_AVG
Real number (ℝ≥0)

MISSING

Distinct285
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9777348582
Minimum0
Maximum1
Zeros514
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:35.725323image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.05922331436
Coefficient of variation (CV)0.06057195759
Kurtosis248.1763368
Mean0.9777348582
Median Absolute Deviation (MAD)0.005
Skewness-15.51526447
Sum153997.1511
Variance0.003507400964
MonotonicityNot monotonic
2021-06-22T17:41:35.839914image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98714311
 
1.4%
0.98564189
 
1.4%
0.98614171
 
1.4%
0.98014123
 
1.3%
0.98664114
 
1.3%
0.98064096
 
1.3%
0.98514096
 
1.3%
0.98113986
 
1.3%
0.98163982
 
1.3%
0.98313970
 
1.3%
Other values (275)116466
37.9%
(Missing)150007
48.8%
ValueCountFrequency (%)
0514
0.2%
0.01791
 
< 0.1%
0.04471
 
< 0.1%
0.09691
 
< 0.1%
0.09741
 
< 0.1%
0.09791
 
< 0.1%
0.19422
 
< 0.1%
0.19873
 
< 0.1%
0.21561
 
< 0.1%
0.2291
 
< 0.1%
ValueCountFrequency (%)
1186
 
0.1%
0.9995691
0.2%
0.999906
0.3%
0.99851062
0.3%
0.9981096
0.4%
0.99751074
0.3%
0.9971110
0.4%
0.9965902
0.3%
0.996853
0.3%
0.9955762
0.2%

YEARS_BUILD_AVG
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7524714326
Minimum0
Maximum1
Zeros102
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:35.945512image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.592
Q10.6872
median0.7552
Q30.8232
95-th percentile0.9524
Maximum1
Range1
Interquartile range (IQR)0.136

Descriptive statistics

Standard deviation0.1132799266
Coefficient of variation (CV)0.1505438236
Kurtosis4.399757249
Mean0.7524714326
Median Absolute Deviation (MAD)0.068
Skewness-0.9624852036
Sum77521.8644
Variance0.01283234178
MonotonicityNot monotonic
2021-06-22T17:41:36.051139image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.82322999
 
1.0%
0.81642864
 
0.9%
0.80282848
 
0.9%
0.7282802
 
0.9%
0.73482761
 
0.9%
0.80962755
 
0.9%
0.832738
 
0.9%
0.7962734
 
0.9%
0.74842731
 
0.9%
0.76882712
 
0.9%
Other values (139)75079
 
24.4%
(Missing)204488
66.5%
ValueCountFrequency (%)
0102
< 0.1%
0.00042
 
< 0.1%
0.00724
 
< 0.1%
0.0143
 
< 0.1%
0.02081
 
< 0.1%
0.02761
 
< 0.1%
0.03443
 
< 0.1%
0.04124
 
< 0.1%
0.0483
 
< 0.1%
0.05482
 
< 0.1%
ValueCountFrequency (%)
1173
 
0.1%
0.9932478
0.2%
0.9864661
0.2%
0.9796786
0.3%
0.9728813
0.3%
0.966748
0.2%
0.9592822
0.3%
0.9524705
0.2%
0.9456607
0.2%
0.9388530
0.2%

COMMONAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3181
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04462071541
Minimum0
Maximum1
Zeros8442
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:36.154109image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0078
median0.0211
Q30.0515
95-th percentile0.1601
Maximum1
Range1
Interquartile range (IQR)0.0437

Descriptive statistics

Standard deviation0.07603574505
Coefficient of variation (CV)1.704045853
Kurtosis45.98801696
Mean0.04462071541
Median Absolute Deviation (MAD)0.0173
Skewness5.457305396
Sum4133.9308
Variance0.005781434525
MonotonicityNot monotonic
2021-06-22T17:41:36.277920image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08442
 
2.7%
0.0079544
 
0.2%
0.0078475
 
0.2%
0.008446
 
0.1%
0.0077414
 
0.1%
0.0086365
 
0.1%
0.0014345
 
0.1%
0.007343
 
0.1%
0.0013317
 
0.1%
0.0069314
 
0.1%
Other values (3171)80641
 
26.2%
(Missing)214865
69.9%
ValueCountFrequency (%)
08442
2.7%
0.000145
 
< 0.1%
0.000267
 
< 0.1%
0.000384
 
< 0.1%
0.000462
 
< 0.1%
0.000582
 
< 0.1%
0.0006170
 
0.1%
0.0007192
 
0.1%
0.0008146
 
< 0.1%
0.0009180
 
0.1%
ValueCountFrequency (%)
192
< 0.1%
0.99372
 
< 0.1%
0.99062
 
< 0.1%
0.98331
 
< 0.1%
0.96011
 
< 0.1%
0.95521
 
< 0.1%
0.95053
 
< 0.1%
0.93221
 
< 0.1%
0.92773
 
< 0.1%
0.88551
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct257
Distinct (%)0.2%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07894151232
Minimum0
Maximum1
Zeros85718
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:36.719117image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1345760011
Coefficient of variation (CV)1.704755801
Kurtosis7.869390119
Mean0.07894151232
Median Absolute Deviation (MAD)0
Skewness2.439428669
Sum11337.58
Variance0.01811070007
MonotonicityNot monotonic
2021-06-22T17:41:36.838249image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
085718
27.9%
0.089886
 
3.2%
0.168806
 
2.9%
0.246071
 
2.0%
0.125593
 
1.8%
0.044585
 
1.5%
0.24072
 
1.3%
0.322788
 
0.9%
0.282272
 
0.7%
0.41532
 
0.5%
Other values (247)12297
 
4.0%
(Missing)163891
53.3%
ValueCountFrequency (%)
085718
27.9%
0.0021
 
< 0.1%
0.00241
 
< 0.1%
0.00483
 
< 0.1%
0.00645
 
< 0.1%
0.00813
 
< 0.1%
0.00886
 
< 0.1%
0.0125
 
< 0.1%
0.011213
 
< 0.1%
0.0121
 
< 0.1%
ValueCountFrequency (%)
1158
0.1%
0.9681
< 0.1%
0.93322
 
< 0.1%
0.9220
 
< 0.1%
0.96
 
< 0.1%
0.8868
< 0.1%
0.8432
 
< 0.1%
0.8084
 
< 0.1%
0.8129
< 0.1%
0.7810
 
< 0.1%

ENTRANCES_AVG
Real number (ℝ≥0)

MISSING

Distinct285
Distinct (%)0.2%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1497246701
Minimum0
Maximum1
Zeros323
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:36.960251image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1000491208
Coefficient of variation (CV)0.6682206794
Kurtosis11.5932117
Mean0.1497246701
Median Absolute Deviation (MAD)0.0689
Skewness2.399716697
Sum22860.4118
Variance0.01000982656
MonotonicityNot monotonic
2021-06-22T17:41:37.072695image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.137934007
 
11.1%
0.06922956
 
7.5%
0.103419533
 
6.4%
0.206919062
 
6.2%
0.034515380
 
5.0%
0.17249185
 
3.0%
0.27597895
 
2.6%
0.24144165
 
1.4%
0.34482066
 
0.7%
0.31032049
 
0.7%
Other values (275)16385
 
5.3%
(Missing)154828
50.3%
ValueCountFrequency (%)
0323
 
0.1%
0.00551
 
< 0.1%
0.00862
 
< 0.1%
0.01141
 
< 0.1%
0.01727
 
< 0.1%
0.02761
 
< 0.1%
0.03213
 
< 0.1%
0.034515380
5.0%
0.03551
 
< 0.1%
0.03691
 
< 0.1%
ValueCountFrequency (%)
1153
< 0.1%
0.965525
 
< 0.1%
0.93121
 
< 0.1%
0.896652
 
< 0.1%
0.862114
 
< 0.1%
0.827642
 
< 0.1%
0.793139
 
< 0.1%
0.758648
 
< 0.1%
0.724144
 
< 0.1%
0.6897116
< 0.1%

FLOORSMAX_AVG
Real number (ℝ≥0)

MISSING

Distinct403
Distinct (%)0.3%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.226281907
Minimum0
Maximum1
Zeros2938
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:37.185684image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4792
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1446406995
Coefficient of variation (CV)0.6392057652
Kurtosis2.432545153
Mean0.226281907
Median Absolute Deviation (MAD)0.0834
Skewness1.226453556
Sum34958.5181
Variance0.02092093197
MonotonicityNot monotonic
2021-06-22T17:41:37.301848image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.166761875
20.1%
0.333331909
 
10.4%
0.041714600
 
4.7%
0.3757926
 
2.6%
0.1256974
 
2.3%
0.08336586
 
2.1%
02938
 
1.0%
0.45832828
 
0.9%
0.6251915
 
0.6%
0.54171685
 
0.5%
Other values (393)15255
 
5.0%
(Missing)153020
49.8%
ValueCountFrequency (%)
02938
1.0%
0.00671
 
< 0.1%
0.00833
 
< 0.1%
0.014
 
< 0.1%
0.01045
 
< 0.1%
0.01171
 
< 0.1%
0.013820
 
< 0.1%
0.0152
 
< 0.1%
0.01541
 
< 0.1%
0.01672
 
< 0.1%
ValueCountFrequency (%)
1167
0.1%
0.97921
 
< 0.1%
0.958383
< 0.1%
0.94792
 
< 0.1%
0.93754
 
< 0.1%
0.93042
 
< 0.1%
0.916730
 
< 0.1%
0.93
 
< 0.1%
0.89922
 
< 0.1%
0.89584
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ≥0)

MISSING

Distinct305
Distinct (%)0.3%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2318935005
Minimum0
Maximum1
Zeros2320
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:37.409986image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1613802888
Coefficient of variation (CV)0.6959241568
Kurtosis1.338255817
Mean0.2318935005
Median Absolute Deviation (MAD)0.1529
Skewness0.9541972815
Sum22927.0785
Variance0.02604359761
MonotonicityNot monotonic
2021-06-22T17:41:37.528858image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.208332875
 
10.7%
0.37517845
 
5.8%
0.041717776
 
5.8%
0.08335086
 
1.7%
0.41673961
 
1.3%
0.16673537
 
1.2%
0.1253336
 
1.1%
02320
 
0.8%
0.51688
 
0.5%
0.66671194
 
0.4%
Other values (295)9251
 
3.0%
(Missing)208642
67.8%
ValueCountFrequency (%)
02320
 
0.8%
0.00673
 
< 0.1%
0.01043
 
< 0.1%
0.01381
 
< 0.1%
0.01584
 
< 0.1%
0.020848
 
< 0.1%
0.0254
 
< 0.1%
0.02758
 
< 0.1%
0.031212
 
< 0.1%
0.041717776
5.8%
ValueCountFrequency (%)
1141
< 0.1%
0.97925
 
< 0.1%
0.958310
 
< 0.1%
0.94082
 
< 0.1%
0.93041
 
< 0.1%
0.9167122
< 0.1%
0.90251
 
< 0.1%
0.89173
 
< 0.1%
0.87519
 
< 0.1%
0.86083
 
< 0.1%

LANDAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3527
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06633318417
Minimum0
Maximum1
Zeros15600
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:37.661339image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0187
median0.0481
Q30.0856
95-th percentile0.1947
Maximum1
Range1
Interquartile range (IQR)0.0669

Descriptive statistics

Standard deviation0.0811836407
Coefficient of variation (CV)1.223876733
Kurtosis34.74479054
Mean0.06633318417
Median Absolute Deviation (MAD)0.0322
Skewness4.458676641
Sum8286.4077
Variance0.006590783518
MonotonicityNot monotonic
2021-06-22T17:41:37.783639image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015600
 
5.1%
0.0631189
 
0.1%
0.0316187
 
0.1%
0.0473186
 
0.1%
0.0174180
 
0.1%
0.0237175
 
0.1%
0.0552173
 
0.1%
0.0331170
 
0.1%
0.0158170
 
0.1%
0.0789165
 
0.1%
Other values (3517)107726
35.0%
(Missing)182590
59.4%
ValueCountFrequency (%)
015600
5.1%
0.000113
 
< 0.1%
0.000213
 
< 0.1%
0.00039
 
< 0.1%
0.000411
 
< 0.1%
0.00058
 
< 0.1%
0.000618
 
< 0.1%
0.000714
 
< 0.1%
0.000820
 
< 0.1%
0.000927
 
< 0.1%
ValueCountFrequency (%)
1135
< 0.1%
0.982910
 
< 0.1%
0.97773
 
< 0.1%
0.9691
 
< 0.1%
0.94971
 
< 0.1%
0.93743
 
< 0.1%
0.92831
 
< 0.1%
0.9139
 
< 0.1%
0.89473
 
< 0.1%
0.8947
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ≥0)

MISSING

Distinct1868
Distinct (%)1.9%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.100774775
Minimum0
Maximum1
Zeros418
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:37.907522image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0101
Q10.0504
median0.0756
Q30.121
95-th percentile0.2723
Maximum1
Range1
Interquartile range (IQR)0.0706

Descriptive statistics

Standard deviation0.09257613396
Coefficient of variation (CV)0.9186439167
Kurtosis16.49063
Mean0.100774775
Median Absolute Deviation (MAD)0.0328
Skewness3.042198061
Sum9806.5949
Variance0.008570340579
MonotonicityNot monotonic
2021-06-22T17:41:38.017200image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05044272
 
1.4%
0.06724231
 
1.4%
0.07562778
 
0.9%
0.05882586
 
0.8%
0.08411864
 
0.6%
0.1211793
 
0.6%
0.00671695
 
0.6%
0.06051492
 
0.5%
0.10091456
 
0.5%
0.01341447
 
0.5%
Other values (1858)73698
 
24.0%
(Missing)210199
68.4%
ValueCountFrequency (%)
0418
0.1%
0.0008117
 
< 0.1%
0.00131
 
< 0.1%
0.0017250
0.1%
0.00212
 
< 0.1%
0.00222
 
< 0.1%
0.0025127
 
< 0.1%
0.00296
 
< 0.1%
0.00312
 
< 0.1%
0.0034365
0.1%
ValueCountFrequency (%)
192
< 0.1%
0.99943
 
< 0.1%
0.99013
 
< 0.1%
0.96412
 
< 0.1%
0.9494
 
< 0.1%
0.93475
 
< 0.1%
0.91535
 
< 0.1%
0.89941
 
< 0.1%
0.89852
 
< 0.1%
0.89521
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ≥0)

MISSING

Distinct5199
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1073990193
Minimum0
Maximum1
Zeros284
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:38.144135image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0453
median0.0745
Q30.1299
95-th percentile0.3205
Maximum1
Range1
Interquartile range (IQR)0.0846

Descriptive statistics

Standard deviation0.1105645232
Coefficient of variation (CV)1.029474234
Kurtosis12.3311742
Mean0.1073990193
Median Absolute Deviation (MAD)0.0389
Skewness2.854736446
Sum16449.3412
Variance0.01222451379
MonotonicityNot monotonic
2021-06-22T17:41:38.273108image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
0.1%
0.0512243
 
0.1%
0.051223
 
0.1%
0.0702223
 
0.1%
0.0509221
 
0.1%
0.0538220
 
0.1%
0.0638215
 
0.1%
0.0513210
 
0.1%
0.0511209
 
0.1%
0.0626205
 
0.1%
Other values (5189)150908
49.1%
(Missing)154350
50.2%
ValueCountFrequency (%)
0284
0.1%
0.00014
 
< 0.1%
0.00028
 
< 0.1%
0.000310
 
< 0.1%
0.000414
 
< 0.1%
0.000517
 
< 0.1%
0.000627
 
< 0.1%
0.000722
 
< 0.1%
0.000839
 
< 0.1%
0.000939
 
< 0.1%
ValueCountFrequency (%)
1150
< 0.1%
0.99841
 
< 0.1%
0.99781
 
< 0.1%
0.98931
 
< 0.1%
0.9861
 
< 0.1%
0.98262
 
< 0.1%
0.98241
 
< 0.1%
0.98111
 
< 0.1%
0.97841
 
< 0.1%
0.97568
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct386
Distinct (%)0.4%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008808672617
Minimum0
Maximum1
Zeros54549
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:38.403545image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0309
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04773166205
Coefficient of variation (CV)5.418712231
Kurtosis284.7303365
Mean0.008808672617
Median Absolute Deviation (MAD)0
Skewness15.54118548
Sum827.9888
Variance0.002278311562
MonotonicityNot monotonic
2021-06-22T17:41:38.533531image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
054549
 
17.7%
0.003913606
 
4.4%
0.00776351
 
2.1%
0.01163714
 
1.2%
0.01542533
 
0.8%
0.01931673
 
0.5%
0.00191250
 
0.4%
0.02321195
 
0.4%
0.027865
 
0.3%
0.0309717
 
0.2%
Other values (376)7544
 
2.5%
(Missing)213514
69.4%
ValueCountFrequency (%)
054549
17.7%
0.00021
 
< 0.1%
0.00035
 
< 0.1%
0.000425
 
< 0.1%
0.00056
 
< 0.1%
0.000641
 
< 0.1%
0.00071
 
< 0.1%
0.000862
 
< 0.1%
0.00092
 
< 0.1%
0.001150
 
< 0.1%
ValueCountFrequency (%)
197
< 0.1%
0.99612
 
< 0.1%
0.99234
 
< 0.1%
0.98841
 
< 0.1%
0.9733
 
< 0.1%
0.95752
 
< 0.1%
0.95563
 
< 0.1%
0.94592
 
< 0.1%
0.93443
 
< 0.1%
0.92667
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3290
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02835775708
Minimum0
Maximum1
Zeros58735
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:38.660286image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0036
Q30.0277
95-th percentile0.1279
Maximum1
Range1
Interquartile range (IQR)0.0277

Descriptive statistics

Standard deviation0.06952318332
Coefficient of variation (CV)2.451646057
Kurtosis64.91241641
Mean0.02835775708
Median Absolute Deviation (MAD)0.0036
Skewness6.559011647
Sum3908.5213
Variance0.004833473019
MonotonicityNot monotonic
2021-06-22T17:41:38.791190image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058735
 
19.1%
0.0012546
 
0.2%
0.0044454
 
0.1%
0.0022440
 
0.1%
0.0031415
 
0.1%
0.001405
 
0.1%
0.0011405
 
0.1%
0.0036399
 
0.1%
0.003397
 
0.1%
0.0024395
 
0.1%
Other values (3280)75238
24.5%
(Missing)169682
55.2%
ValueCountFrequency (%)
058735
19.1%
0.0001163
 
0.1%
0.0002107
 
< 0.1%
0.000395
 
< 0.1%
0.0004162
 
0.1%
0.0005205
 
0.1%
0.0006260
 
0.1%
0.0007212
 
0.1%
0.0008212
 
0.1%
0.0009311
 
0.1%
ValueCountFrequency (%)
1136
< 0.1%
0.99561
 
< 0.1%
0.98231
 
< 0.1%
0.97641
 
< 0.1%
0.95912
 
< 0.1%
0.95881
 
< 0.1%
0.95585
 
< 0.1%
0.95563
 
< 0.1%
0.94022
 
< 0.1%
0.93311
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ≥0)

MISSING

Distinct760
Distinct (%)0.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1142310069
Minimum0
Maximum1
Zeros976
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:38.927105image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0084
Q10.0525
median0.084
Q30.1439
95-th percentile0.3193
Maximum1
Range1
Interquartile range (IQR)0.0914

Descriptive statistics

Standard deviation0.1079360391
Coefficient of variation (CV)0.9448926521
Kurtosis11.74605563
Mean0.1142310069
Median Absolute Deviation (MAD)0.0421
Skewness2.703051654
Sum17300.286
Variance0.01165018853
MonotonicityNot monotonic
2021-06-22T17:41:39.059496image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0847522
 
2.4%
0.0637451
 
2.4%
0.09454757
 
1.5%
0.07354388
 
1.4%
0.00843970
 
1.3%
0.01683324
 
1.1%
0.1053116
 
1.0%
0.15133039
 
1.0%
0.01263034
 
1.0%
0.07562973
 
1.0%
Other values (750)107876
35.1%
(Missing)156061
50.7%
ValueCountFrequency (%)
0976
 
0.3%
0.0011285
 
0.1%
0.00211006
 
0.3%
0.0032431
 
0.1%
0.00421069
 
0.3%
0.0053330
 
0.1%
0.0063459
 
0.1%
0.0074273
 
0.1%
0.00843970
1.3%
0.0095330
 
0.1%
ValueCountFrequency (%)
1150
< 0.1%
0.99891
 
< 0.1%
0.99471
 
< 0.1%
0.98841
 
< 0.1%
0.98531
 
< 0.1%
0.98421
 
< 0.1%
0.98321
 
< 0.1%
0.973710
 
< 0.1%
0.96643
 
< 0.1%
0.96221
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3841
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08754321225
Minimum0
Maximum1
Zeros16598
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:39.186254image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0407
median0.0746
Q30.1124
95-th percentile0.2277
Maximum1
Range1
Interquartile range (IQR)0.0717

Descriptive statistics

Standard deviation0.08430717487
Coefficient of variation (CV)0.963034971
Kurtosis24.43118634
Mean0.08754321225
Median Absolute Deviation (MAD)0.0358
Skewness3.481532853
Sum11167.7125
Variance0.007107699734
MonotonicityNot monotonic
2021-06-22T17:41:39.353773image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016598
 
5.4%
0.0566269
 
0.1%
0.0849265
 
0.1%
0.0642253
 
0.1%
0.083251
 
0.1%
0.1132243
 
0.1%
0.0792241
 
0.1%
0.0826238
 
0.1%
0.0679222
 
0.1%
0.0755215
 
0.1%
Other values (3831)108773
35.4%
(Missing)179943
58.5%
ValueCountFrequency (%)
016598
5.4%
0.0001105
 
< 0.1%
0.000241
 
< 0.1%
0.000310
 
< 0.1%
0.000433
 
< 0.1%
0.000528
 
< 0.1%
0.000641
 
< 0.1%
0.00079
 
< 0.1%
0.000826
 
< 0.1%
0.000942
 
< 0.1%
ValueCountFrequency (%)
1133
< 0.1%
0.9912
 
< 0.1%
0.98422
 
< 0.1%
0.97874
 
< 0.1%
0.95781
 
< 0.1%
0.95371
 
< 0.1%
0.95153
 
< 0.1%
0.94761
 
< 0.1%
0.9471
 
< 0.1%
0.94423
 
< 0.1%

YEARS_BEGINEXPLUATATION_MODE
Real number (ℝ≥0)

MISSING

Distinct221
Distinct (%)0.1%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9770653729
Minimum0
Maximum1
Zeros142
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:39.517467image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.06457543708
Coefficient of variation (CV)0.06609121444
Kurtosis219.9627658
Mean0.9770653729
Median Absolute Deviation (MAD)0.005
Skewness-14.75531784
Sum153891.7045
Variance0.004169987074
MonotonicityNot monotonic
2021-06-22T17:41:39.663571image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98714291
 
1.4%
0.98664173
 
1.4%
0.98614167
 
1.4%
0.98014110
 
1.3%
0.98064083
 
1.3%
0.98564075
 
1.3%
0.98514016
 
1.3%
0.98163976
 
1.3%
0.97963974
 
1.3%
0.97913935
 
1.3%
Other values (211)116704
38.0%
(Missing)150007
48.8%
ValueCountFrequency (%)
0142
 
< 0.1%
0.0005525
0.2%
0.01841
 
< 0.1%
0.04521
 
< 0.1%
0.09731
 
< 0.1%
0.09781
 
< 0.1%
0.09831
 
< 0.1%
0.43591
 
< 0.1%
0.45181
 
< 0.1%
0.53181
 
< 0.1%
ValueCountFrequency (%)
1211
 
0.1%
0.9995702
0.2%
0.999915
0.3%
0.99851053
0.3%
0.9981065
0.3%
0.99751103
0.4%
0.9971137
0.4%
0.9965945
0.3%
0.996871
0.3%
0.9955720
0.2%

YEARS_BUILD_MODE
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7596373227
Minimum0
Maximum1
Zeros103
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:39.796624image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.608
Q10.6994
median0.7648
Q30.8236
95-th percentile0.9543
Maximum1
Range1
Interquartile range (IQR)0.1242

Descriptive statistics

Standard deviation0.1101110273
Coefficient of variation (CV)0.1449521029
Kurtosis4.764473709
Mean0.7596373227
Median Absolute Deviation (MAD)0.0653
Skewness-1.002304903
Sum78260.1159
Variance0.01212443834
MonotonicityNot monotonic
2021-06-22T17:41:39.917817image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.83012960
 
1.0%
0.82362879
 
0.9%
0.73872789
 
0.9%
0.81712763
 
0.9%
0.81052755
 
0.9%
0.74522737
 
0.9%
0.83672711
 
0.9%
0.8042707
 
0.9%
0.75832704
 
0.9%
0.77792689
 
0.9%
Other values (144)75329
 
24.5%
(Missing)204488
66.5%
ValueCountFrequency (%)
0103
< 0.1%
0.00033
 
< 0.1%
0.01342
 
< 0.1%
0.01992
 
< 0.1%
0.02652
 
< 0.1%
0.0331
 
< 0.1%
0.03952
 
< 0.1%
0.04613
 
< 0.1%
0.05264
 
< 0.1%
0.05911
 
< 0.1%
ValueCountFrequency (%)
1183
 
0.1%
0.9935487
0.2%
0.9869653
0.2%
0.9804791
0.3%
0.9739779
0.3%
0.9673746
0.2%
0.9608859
0.3%
0.9543716
0.2%
0.9477619
0.2%
0.9412523
0.2%

COMMONAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3128
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04255313775
Minimum0
Maximum1
Zeros9690
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:40.045236image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0072
median0.019
Q30.049
95-th percentile0.1532
Maximum1
Range1
Interquartile range (IQR)0.0418

Descriptive statistics

Standard deviation0.07444452254
Coefficient of variation (CV)1.749448489
Kurtosis48.86099191
Mean0.04255313775
Median Absolute Deviation (MAD)0.0164
Skewness5.620589225
Sum3942.378
Variance0.005541986936
MonotonicityNot monotonic
2021-06-22T17:41:40.194911image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09690
 
3.2%
0.008546
 
0.2%
0.0079543
 
0.2%
0.0078518
 
0.2%
0.0081416
 
0.1%
0.0087397
 
0.1%
0.0014394
 
0.1%
0.007363
 
0.1%
0.0071341
 
0.1%
0.0012332
 
0.1%
Other values (3118)79106
 
25.7%
(Missing)214865
69.9%
ValueCountFrequency (%)
09690
3.2%
0.000160
 
< 0.1%
0.000252
 
< 0.1%
0.000368
 
< 0.1%
0.000463
 
< 0.1%
0.000570
 
< 0.1%
0.0006161
 
0.1%
0.0007176
 
0.1%
0.0008179
 
0.1%
0.0009193
 
0.1%
ValueCountFrequency (%)
189
< 0.1%
0.99972
 
< 0.1%
0.99231
 
< 0.1%
0.96891
 
< 0.1%
0.96391
 
< 0.1%
0.95913
 
< 0.1%
0.93621
 
< 0.1%
0.93612
 
< 0.1%
0.93241
 
< 0.1%
0.89361
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07448973611
Minimum0
Maximum1
Zeros89498
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:40.405689image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208
95-th percentile0.3222
Maximum1
Range1
Interquartile range (IQR)0.1208

Descriptive statistics

Standard deviation0.1322561442
Coefficient of variation (CV)1.775494868
Kurtosis8.597942866
Mean0.07448973611
Median Absolute Deviation (MAD)0
Skewness2.552281099
Sum10698.2159
Variance0.01749168767
MonotonicityNot monotonic
2021-06-22T17:41:40.998537image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
089498
29.1%
0.080611629
 
3.8%
0.16119675
 
3.1%
0.24176379
 
2.1%
0.12085734
 
1.9%
0.04034876
 
1.6%
0.20143962
 
1.3%
0.32222887
 
0.9%
0.2822135
 
0.7%
0.40281554
 
0.5%
Other values (16)5291
 
1.7%
(Missing)163891
53.3%
ValueCountFrequency (%)
089498
29.1%
0.04034876
 
1.6%
0.080611629
 
3.8%
0.12085734
 
1.9%
0.16119675
 
3.1%
0.20143962
 
1.3%
0.24176379
 
2.1%
0.2822135
 
0.7%
0.32222887
 
0.9%
0.36251308
 
0.4%
ValueCountFrequency (%)
1144
 
< 0.1%
0.966787
 
< 0.1%
0.926420
 
< 0.1%
0.886266
 
< 0.1%
0.845934
 
< 0.1%
0.8056137
 
< 0.1%
0.765338
 
< 0.1%
0.725219
0.1%
0.684899
 
< 0.1%
0.6445447
0.1%

ENTRANCES_MODE
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1451926586
Minimum0
Maximum1
Zeros387
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:41.125955image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1009769882
Coefficient of variation (CV)0.6954689659
Kurtosis11.42245778
Mean0.1451926586
Median Absolute Deviation (MAD)0.0689
Skewness2.392343316
Sum22168.4507
Variance0.01019635214
MonotonicityNot monotonic
2021-06-22T17:41:41.275877image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.137936041
 
11.7%
0.06926704
 
8.7%
0.103420533
 
6.7%
0.206919678
 
6.4%
0.034519428
 
6.3%
0.17248986
 
2.9%
0.27598036
 
2.6%
0.24144013
 
1.3%
0.34482046
 
0.7%
0.31032014
 
0.7%
Other values (20)5204
 
1.7%
(Missing)154828
50.3%
ValueCountFrequency (%)
0387
 
0.1%
0.034519428
6.3%
0.06926704
8.7%
0.103420533
6.7%
0.137936041
11.7%
0.17248986
 
2.9%
0.206919678
6.4%
0.24144013
 
1.3%
0.27598036
 
2.6%
0.31032014
 
0.7%
ValueCountFrequency (%)
1152
< 0.1%
0.965525
 
< 0.1%
0.93121
 
< 0.1%
0.896652
 
< 0.1%
0.862114
 
< 0.1%
0.827642
 
< 0.1%
0.793139
 
< 0.1%
0.758648
 
< 0.1%
0.724144
 
< 0.1%
0.6897116
< 0.1%

FLOORSMAX_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2223150475
Minimum0
Maximum1
Zeros3415
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:41.414959image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4583
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1437094066
Coefficient of variation (CV)0.6464223103
Kurtosis2.535687486
Mean0.2223150475
Median Absolute Deviation (MAD)0.0834
Skewness1.2443425
Sum34345.674
Variance0.02065239354
MonotonicityNot monotonic
2021-06-22T17:41:41.509234image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.166765550
21.3%
0.333334373
 
11.2%
0.041715616
 
5.1%
0.3758321
 
2.7%
0.1257267
 
2.4%
0.08336785
 
2.2%
03415
 
1.1%
0.45833216
 
1.0%
0.6252075
 
0.7%
0.54171836
 
0.6%
Other values (15)6037
 
2.0%
(Missing)153020
49.8%
ValueCountFrequency (%)
03415
 
1.1%
0.041715616
 
5.1%
0.08336785
 
2.2%
0.1257267
 
2.4%
0.166765550
21.3%
0.20831505
 
0.5%
0.25572
 
0.2%
0.2917511
 
0.2%
0.333334373
11.2%
0.3758321
 
2.7%
ValueCountFrequency (%)
1164
 
0.1%
0.958394
 
< 0.1%
0.916738
 
< 0.1%
0.875229
 
0.1%
0.833322
 
< 0.1%
0.791758
 
< 0.1%
0.75124
 
< 0.1%
0.7083199
 
0.1%
0.66671710
0.6%
0.6252075
0.7%

FLOORSMIN_MODE
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2280584926
Minimum0
Maximum1
Zeros2517
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:41.607832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1611597715
Coefficient of variation (CV)0.7066598121
Kurtosis1.35372559
Mean0.2280584926
Median Absolute Deviation (MAD)0.1666
Skewness0.963834755
Sum22547.9151
Variance0.02597247195
MonotonicityNot monotonic
2021-06-22T17:41:41.699415image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.208334403
 
11.2%
0.37519042
 
6.2%
0.041718917
 
6.2%
0.08335349
 
1.7%
0.41674105
 
1.3%
0.16673636
 
1.2%
0.1253170
 
1.0%
02517
 
0.8%
0.51889
 
0.6%
0.66671264
 
0.4%
Other values (15)4577
 
1.5%
(Missing)208642
67.8%
ValueCountFrequency (%)
02517
 
0.8%
0.041718917
6.2%
0.08335349
 
1.7%
0.1253170
 
1.0%
0.16673636
 
1.2%
0.208334403
11.2%
0.25772
 
0.3%
0.2917359
 
0.1%
0.3333320
 
0.1%
0.37519042
6.2%
ValueCountFrequency (%)
1141
 
< 0.1%
0.958317
 
< 0.1%
0.9167131
 
< 0.1%
0.8759
 
< 0.1%
0.833322
 
< 0.1%
0.791761
 
< 0.1%
0.7599
 
< 0.1%
0.70831143
0.4%
0.66671264
0.4%
0.625207
 
0.1%

LANDAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3563
Distinct (%)2.9%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06495768446
Minimum0
Maximum1
Zeros17453
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:41.813810image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0166
median0.0458
Q30.0841
95-th percentile0.1956
Maximum1
Range1
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.08175027781
Coefficient of variation (CV)1.258515886
Kurtosis33.2732701
Mean0.06495768446
Median Absolute Deviation (MAD)0.032
Skewness4.37702655
Sum8114.5789
Variance0.006683107922
MonotonicityNot monotonic
2021-06-22T17:41:41.961203image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017453
 
5.7%
0.0194208
 
0.1%
0.0645193
 
0.1%
0.0484192
 
0.1%
0.0323188
 
0.1%
0.0147178
 
0.1%
0.0111175
 
0.1%
0.0144175
 
0.1%
0.0258173
 
0.1%
0.0242172
 
0.1%
Other values (3553)105814
34.4%
(Missing)182590
59.4%
ValueCountFrequency (%)
017453
5.7%
0.000124
 
< 0.1%
0.000214
 
< 0.1%
0.00036
 
< 0.1%
0.000414
 
< 0.1%
0.000515
 
< 0.1%
0.000617
 
< 0.1%
0.000714
 
< 0.1%
0.000817
 
< 0.1%
0.000912
 
< 0.1%
ValueCountFrequency (%)
1129
< 0.1%
0.99111
 
< 0.1%
0.97141
 
< 0.1%
0.96652
 
< 0.1%
0.95873
 
< 0.1%
0.94951
 
< 0.1%
0.93389
 
< 0.1%
0.91522
 
< 0.1%
0.91511
 
< 0.1%
0.91447
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ≥0)

MISSING

Distinct736
Distinct (%)0.8%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1056448567
Minimum0
Maximum1
Zeros519
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:42.073444image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.011
Q10.0542
median0.0771
Q30.1313
95-th percentile0.2948
Maximum1
Range1
Interquartile range (IQR)0.0771

Descriptive statistics

Standard deviation0.09788044658
Coefficient of variation (CV)0.9265046079
Kurtosis14.22499394
Mean0.1056448567
Median Absolute Deviation (MAD)0.0339
Skewness2.902671829
Sum10280.5123
Variance0.009580581822
MonotonicityNot monotonic
2021-06-22T17:41:42.186857image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05514931
 
1.6%
0.07354797
 
1.6%
0.08262966
 
1.0%
0.06432853
 
0.9%
0.09182069
 
0.7%
0.13221972
 
0.6%
0.06611930
 
0.6%
0.00731883
 
0.6%
0.01471585
 
0.5%
0.05881519
 
0.5%
Other values (726)70807
 
23.0%
(Missing)210199
68.4%
ValueCountFrequency (%)
0519
 
0.2%
0.0009156
 
0.1%
0.0018295
 
0.1%
0.0028146
 
< 0.1%
0.0037413
 
0.1%
0.0046141
 
< 0.1%
0.0055212
 
0.1%
0.0064142
 
< 0.1%
0.00731883
0.6%
0.0083132
 
< 0.1%
ValueCountFrequency (%)
194
< 0.1%
0.98261
 
< 0.1%
0.98162
 
< 0.1%
0.9781
 
< 0.1%
0.97611
 
< 0.1%
0.95321
 
< 0.1%
0.94954
 
< 0.1%
0.92563
 
< 0.1%
0.91643
 
< 0.1%
0.91557
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ≥0)

MISSING

Distinct5301
Distinct (%)3.5%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1059750504
Minimum0
Maximum1
Zeros444
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:42.301722image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0079
Q10.0427
median0.0731
Q30.1252
95-th percentile0.323
Maximum1
Range1
Interquartile range (IQR)0.0825

Descriptive statistics

Standard deviation0.1118452659
Coefficient of variation (CV)1.055392429
Kurtosis12.45906186
Mean0.1059750504
Median Absolute Deviation (MAD)0.0391
Skewness2.902491127
Sum16231.2447
Variance0.0125093635
MonotonicityNot monotonic
2021-06-22T17:41:42.413774image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0444
 
0.1%
0.053272
 
0.1%
0.0532262
 
0.1%
0.0529249
 
0.1%
0.0533242
 
0.1%
0.0656224
 
0.1%
0.0561224
 
0.1%
0.0734223
 
0.1%
0.0536222
 
0.1%
0.0525220
 
0.1%
Other values (5291)150579
49.0%
(Missing)154350
50.2%
ValueCountFrequency (%)
0444
0.1%
0.00017
 
< 0.1%
0.00027
 
< 0.1%
0.000316
 
< 0.1%
0.000424
 
< 0.1%
0.000520
 
< 0.1%
0.000625
 
< 0.1%
0.000737
 
< 0.1%
0.000842
 
< 0.1%
0.000947
 
< 0.1%
ValueCountFrequency (%)
1150
< 0.1%
0.9953
 
< 0.1%
0.992213
 
< 0.1%
0.98862
 
< 0.1%
0.98681
 
< 0.1%
0.98631
 
< 0.1%
0.9842
 
< 0.1%
0.98363
 
< 0.1%
0.97671
 
< 0.1%
0.97261
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct167
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008076387544
Minimum0
Maximum1
Zeros59255
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:42.550749image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0272
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04627626622
Coefficient of variation (CV)5.729822395
Kurtosis309.7269475
Mean0.008076387544
Median Absolute Deviation (MAD)0
Skewness16.25181924
Sum759.1562
Variance0.002141492815
MonotonicityNot monotonic
2021-06-22T17:41:42.661991image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
059255
 
19.3%
0.003914105
 
4.6%
0.00786413
 
2.1%
0.01173675
 
1.2%
0.01562492
 
0.8%
0.01951653
 
0.5%
0.02331177
 
0.4%
0.0272840
 
0.3%
0.0311711
 
0.2%
0.035527
 
0.2%
Other values (157)3149
 
1.0%
(Missing)213514
69.4%
ValueCountFrequency (%)
059255
19.3%
0.003914105
 
4.6%
0.00786413
 
2.1%
0.01173675
 
1.2%
0.01562492
 
0.8%
0.01951653
 
0.5%
0.02331177
 
0.4%
0.0272840
 
0.3%
0.0311711
 
0.2%
0.035527
 
0.2%
ValueCountFrequency (%)
1100
< 0.1%
0.99611
 
< 0.1%
0.98053
 
< 0.1%
0.9652
 
< 0.1%
0.95332
 
< 0.1%
0.94163
 
< 0.1%
0.93397
 
< 0.1%
0.91832
 
< 0.1%
0.89491
 
< 0.1%
0.89111
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3327
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02702231969
Minimum0
Maximum1
Zeros67126
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:42.765794image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0011
Q30.0231
95-th percentile0.1294
Maximum1
Range1
Interquartile range (IQR)0.0231

Descriptive statistics

Standard deviation0.07025385904
Coefficient of variation (CV)2.599845604
Kurtosis63.35707261
Mean0.02702231969
Median Absolute Deviation (MAD)0.0011
Skewness6.522450899
Sum3724.4593
Variance0.004935604711
MonotonicityNot monotonic
2021-06-22T17:41:42.869559image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
067126
 
21.8%
0.0011477
 
0.2%
0.0046466
 
0.2%
0.0033430
 
0.1%
0.0012427
 
0.1%
0.0023426
 
0.1%
0.0013410
 
0.1%
0.003370
 
0.1%
0.0055363
 
0.1%
0.0037357
 
0.1%
Other values (3317)66977
 
21.8%
(Missing)169682
55.2%
ValueCountFrequency (%)
067126
21.8%
0.0001123
 
< 0.1%
0.0002125
 
< 0.1%
0.000361
 
< 0.1%
0.000490
 
< 0.1%
0.0005170
 
0.1%
0.0006187
 
0.1%
0.0007155
 
0.1%
0.0008189
 
0.1%
0.0009182
 
0.1%
ValueCountFrequency (%)
1135
< 0.1%
0.98781
 
< 0.1%
0.98521
 
< 0.1%
0.9845
 
< 0.1%
0.97521
 
< 0.1%
0.96331
 
< 0.1%
0.93432
 
< 0.1%
0.9261
 
< 0.1%
0.92381
 
< 0.1%
0.9182
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ≥0)

MISSING

Distinct1148
Distinct (%)0.8%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1178499208
Minimum0
Maximum1
Zeros771
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:42.971107image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0583
median0.0864
Q30.1489
95-th percentile0.33
Maximum1
Range1
Interquartile range (IQR)0.0906

Descriptive statistics

Standard deviation0.109075906
Coefficient of variation (CV)0.9255492519
Kurtosis11.24218957
Mean0.1178499208
Median Absolute Deviation (MAD)0.0437
Skewness2.639255507
Sum17848.3705
Variance0.01189755327
MonotonicityNot monotonic
2021-06-22T17:41:43.079365image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08337109
 
2.3%
0.06256687
 
2.2%
0.09374622
 
1.5%
0.07294211
 
1.4%
0.00833562
 
1.2%
0.01673098
 
1.0%
0.10413097
 
1.0%
0.14992992
 
1.0%
0.01252801
 
0.9%
0.07492559
 
0.8%
Other values (1138)110712
36.0%
(Missing)156061
50.7%
ValueCountFrequency (%)
0771
0.3%
0.001199
 
0.1%
0.00166
 
< 0.1%
0.0021808
0.3%
0.002613
 
< 0.1%
0.0031388
0.1%
0.003612
 
< 0.1%
0.0042967
0.3%
0.004710
 
< 0.1%
0.0052293
 
0.1%
ValueCountFrequency (%)
1142
< 0.1%
0.99931
 
< 0.1%
0.99727
 
< 0.1%
0.9919
 
< 0.1%
0.98991
 
< 0.1%
0.98571
 
< 0.1%
0.97951
 
< 0.1%
0.97641
 
< 0.1%
0.97531
 
< 0.1%
0.97431
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3772
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08795485467
Minimum0
Maximum1
Zeros14991
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:43.205066image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0437
median0.0758
Q30.1116
95-th percentile0.2231
Maximum1
Range1
Interquartile range (IQR)0.0679

Descriptive statistics

Standard deviation0.08217874951
Coefficient of variation (CV)0.9343287511
Kurtosis25.82976083
Mean0.08795485467
Median Absolute Deviation (MAD)0.034
Skewness3.553039527
Sum11220.2249
Variance0.006753346872
MonotonicityNot monotonic
2021-06-22T17:41:43.333286image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014991
 
4.9%
0.0818271
 
0.1%
0.1091266
 
0.1%
0.0545265
 
0.1%
0.0727248
 
0.1%
0.0796246
 
0.1%
0.08240
 
0.1%
0.0805234
 
0.1%
0.0655221
 
0.1%
0.0797209
 
0.1%
Other values (3762)110377
35.9%
(Missing)179943
58.5%
ValueCountFrequency (%)
014991
4.9%
0.0001106
 
< 0.1%
0.000239
 
< 0.1%
0.00038
 
< 0.1%
0.000431
 
< 0.1%
0.000548
 
< 0.1%
0.000614
 
< 0.1%
0.000715
 
< 0.1%
0.000821
 
< 0.1%
0.000940
 
< 0.1%
ValueCountFrequency (%)
1130
< 0.1%
0.99451
 
< 0.1%
0.96942
 
< 0.1%
0.96821
 
< 0.1%
0.96771
 
< 0.1%
0.96363
 
< 0.1%
0.9552
 
< 0.1%
0.94842
 
< 0.1%
0.94314
 
< 0.1%
0.9231
 
< 0.1%

YEARS_BEGINEXPLUATATION_MEDI
Real number (ℝ≥0)

MISSING

Distinct245
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9777522641
Minimum0
Maximum1
Zeros548
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:43.481413image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.05989731851
Coefficient of variation (CV)0.0612602197
Kurtosis248.396522
Mean0.9777522641
Median Absolute Deviation (MAD)0.005
Skewness-15.57312427
Sum153999.8926
Variance0.003587688764
MonotonicityNot monotonic
2021-06-22T17:41:43.597788image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98714314
 
1.4%
0.98614247
 
1.4%
0.98564199
 
1.4%
0.98664138
 
1.3%
0.98014115
 
1.3%
0.98064069
 
1.3%
0.98514032
 
1.3%
0.97963963
 
1.3%
0.98763948
 
1.3%
0.98163930
 
1.3%
Other values (235)116549
37.9%
(Missing)150007
48.8%
ValueCountFrequency (%)
0548
0.2%
0.01791
 
< 0.1%
0.04471
 
< 0.1%
0.09691
 
< 0.1%
0.09741
 
< 0.1%
0.09791
 
< 0.1%
0.47593
 
< 0.1%
0.47741
 
< 0.1%
0.47792
 
< 0.1%
0.47841
 
< 0.1%
ValueCountFrequency (%)
1206
 
0.1%
0.9995717
0.2%
0.999926
0.3%
0.99851073
0.3%
0.9981114
0.4%
0.99751123
0.4%
0.9971152
0.4%
0.9965960
0.3%
0.996899
0.3%
0.9955760
0.2%

YEARS_BUILD_MEDI
Real number (ℝ≥0)

MISSING

Distinct151
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7557462722
Minimum0
Maximum1
Zeros101
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:43.715506image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5975
Q10.6914
median0.7585
Q30.8256
95-th percentile0.953
Maximum1
Range1
Interquartile range (IQR)0.1342

Descriptive statistics

Standard deviation0.1120663096
Coefficient of variation (CV)0.1482856268
Kurtosis4.468810703
Mean0.7557462722
Median Absolute Deviation (MAD)0.0671
Skewness-0.9627843225
Sum77859.2482
Variance0.01255885776
MonotonicityNot monotonic
2021-06-22T17:41:43.837819image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.82562994
 
1.0%
0.81892883
 
0.9%
0.80542842
 
0.9%
0.73162799
 
0.9%
0.81212784
 
0.9%
0.83232740
 
0.9%
0.73832739
 
0.9%
0.79872700
 
0.9%
0.75182687
 
0.9%
0.77192686
 
0.9%
Other values (141)75169
 
24.4%
(Missing)204488
66.5%
ValueCountFrequency (%)
0101
< 0.1%
0.00032
 
< 0.1%
0.00711
 
< 0.1%
0.01382
 
< 0.1%
0.02053
 
< 0.1%
0.02723
 
< 0.1%
0.03391
 
< 0.1%
0.04061
 
< 0.1%
0.04733
 
< 0.1%
0.0544
 
< 0.1%
ValueCountFrequency (%)
1182
 
0.1%
0.9933494
0.2%
0.9866665
0.2%
0.9799802
0.3%
0.9732819
0.3%
0.9665755
0.2%
0.9597841
0.3%
0.953717
0.2%
0.9463637
0.2%
0.9396549
0.2%

COMMONAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3202
Distinct (%)3.5%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04459510179
Minimum0
Maximum1
Zeros8691
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:43.965038image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0079
median0.0208
Q30.0513
95-th percentile0.1609
Maximum1
Range1
Interquartile range (IQR)0.0434

Descriptive statistics

Standard deviation0.07614426224
Coefficient of variation (CV)1.707457976
Kurtosis45.26358612
Mean0.04459510179
Median Absolute Deviation (MAD)0.0172
Skewness5.419238452
Sum4131.5578
Variance0.005797948672
MonotonicityNot monotonic
2021-06-22T17:41:44.087944image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08691
 
2.8%
0.0079581
 
0.2%
0.008486
 
0.2%
0.0078481
 
0.2%
0.0014377
 
0.1%
0.0086376
 
0.1%
0.0081337
 
0.1%
0.0071336
 
0.1%
0.0087309
 
0.1%
0.0012308
 
0.1%
Other values (3192)80364
 
26.1%
(Missing)214865
69.9%
ValueCountFrequency (%)
08691
2.8%
0.000157
 
< 0.1%
0.000249
 
< 0.1%
0.000373
 
< 0.1%
0.000463
 
< 0.1%
0.000576
 
< 0.1%
0.0006154
 
0.1%
0.0007180
 
0.1%
0.0008152
 
< 0.1%
0.0009182
 
0.1%
ValueCountFrequency (%)
190
< 0.1%
0.99692
 
< 0.1%
0.98961
 
< 0.1%
0.96621
 
< 0.1%
0.96131
 
< 0.1%
0.95653
 
< 0.1%
0.93361
 
< 0.1%
0.93352
 
< 0.1%
0.89111
 
< 0.1%
0.89071
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07807784431
Minimum0
Maximum1
Zeros87026
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:44.206748image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1344671477
Coefficient of variation (CV)1.722219009
Kurtosis7.963978005
Mean0.07807784431
Median Absolute Deviation (MAD)0
Skewness2.457824084
Sum11213.54
Variance0.01808141381
MonotonicityNot monotonic
2021-06-22T17:41:44.316354image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
087026
28.3%
0.0810832
 
3.5%
0.169278
 
3.0%
0.246392
 
2.1%
0.125946
 
1.9%
0.044852
 
1.6%
0.24162
 
1.4%
0.322937
 
1.0%
0.282317
 
0.8%
0.41604
 
0.5%
Other values (36)8274
 
2.7%
(Missing)163891
53.3%
ValueCountFrequency (%)
087026
28.3%
0.02368
 
0.1%
0.044852
 
1.6%
0.06388
 
0.1%
0.0810832
 
3.5%
0.1543
 
0.2%
0.125946
 
1.9%
0.14388
 
0.1%
0.169278
 
3.0%
0.18280
 
0.1%
ValueCountFrequency (%)
1158
0.1%
0.9681
< 0.1%
0.9220
 
< 0.1%
0.96
 
< 0.1%
0.8868
< 0.1%
0.8432
 
< 0.1%
0.8140
< 0.1%
0.7810
 
< 0.1%
0.7645
 
< 0.1%
0.746
 
< 0.1%

ENTRANCES_MEDI
Real number (ℝ≥0)

MISSING

Distinct46
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1492127807
Minimum0
Maximum1
Zeros329
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:44.437592image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1003683945
Coefficient of variation (CV)0.6726527983
Kurtosis11.47406674
Mean0.1492127807
Median Absolute Deviation (MAD)0.0689
Skewness2.387710998
Sum22782.255
Variance0.01007381461
MonotonicityNot monotonic
2021-06-22T17:41:44.625958image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.137935535
 
11.6%
0.06924193
 
7.9%
0.103420492
 
6.7%
0.206919750
 
6.4%
0.034516150
 
5.3%
0.17249566
 
3.1%
0.27598048
 
2.6%
0.24144318
 
1.4%
0.34482108
 
0.7%
0.31032086
 
0.7%
Other values (36)10437
 
3.4%
(Missing)154828
50.3%
ValueCountFrequency (%)
0329
 
0.1%
0.01727
 
< 0.1%
0.034516150
5.3%
0.0517611
 
0.2%
0.06924193
7.9%
0.08621352
 
0.4%
0.103420492
6.7%
0.12071228
 
0.4%
0.137935535
11.6%
0.1552788
 
0.3%
ValueCountFrequency (%)
1153
< 0.1%
0.965525
 
< 0.1%
0.93121
 
< 0.1%
0.896652
 
< 0.1%
0.862114
 
< 0.1%
0.827642
 
< 0.1%
0.793139
 
< 0.1%
0.758648
 
< 0.1%
0.724144
 
< 0.1%
0.6897116
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ≥0)

MISSING

Distinct49
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2258965901
Minimum0
Maximum1
Zeros2995
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:44.784817image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4792
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1450670259
Coefficient of variation (CV)0.6421833365
Kurtosis2.468554651
Mean0.2258965901
Median Absolute Deviation (MAD)0.0834
Skewness1.240185498
Sum34898.9901
Variance0.02104444201
MonotonicityNot monotonic
2021-06-22T17:41:44.894886image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.166763607
20.7%
0.333333279
 
10.8%
0.041714832
 
4.8%
0.3758207
 
2.7%
0.1257079
 
2.3%
0.08336657
 
2.2%
0.45833089
 
1.0%
02995
 
1.0%
0.6252042
 
0.7%
0.54171860
 
0.6%
Other values (39)10844
 
3.5%
(Missing)153020
49.8%
ValueCountFrequency (%)
02995
 
1.0%
0.0208126
 
< 0.1%
0.041714832
 
4.8%
0.0625132
 
< 0.1%
0.08336657
 
2.2%
0.1042460
 
0.1%
0.1257079
 
2.3%
0.1458321
 
0.1%
0.166763607
20.7%
0.1875245
 
0.1%
ValueCountFrequency (%)
1170
0.1%
0.97921
 
< 0.1%
0.958395
< 0.1%
0.93754
 
< 0.1%
0.916737
 
< 0.1%
0.89582
 
< 0.1%
0.875223
0.1%
0.85423
 
< 0.1%
0.833339
 
< 0.1%
0.812523
 
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ≥0)

MISSING

Distinct47
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.231624938
Minimum0
Maximum1
Zeros2351
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:45.010793image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1619335415
Coefficient of variation (CV)0.699119632
Kurtosis1.346573933
Mean0.231624938
Median Absolute Deviation (MAD)0.1666
Skewness0.960226455
Sum22900.526
Variance0.02622247185
MonotonicityNot monotonic
2021-06-22T17:41:45.133795image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.208333737
 
11.0%
0.37518538
 
6.0%
0.041718090
 
5.9%
0.08335131
 
1.7%
0.41674068
 
1.3%
0.16673570
 
1.2%
0.1253373
 
1.1%
02351
 
0.8%
0.51835
 
0.6%
0.66671261
 
0.4%
Other values (37)6915
 
2.2%
(Missing)208642
67.8%
ValueCountFrequency (%)
02351
 
0.8%
0.020850
 
< 0.1%
0.041718090
5.9%
0.062551
 
< 0.1%
0.08335131
 
1.7%
0.1042106
 
< 0.1%
0.1253373
 
1.1%
0.1458180
 
0.1%
0.16673570
 
1.2%
0.1875159
 
0.1%
ValueCountFrequency (%)
1147
< 0.1%
0.97925
 
< 0.1%
0.958314
 
< 0.1%
0.9167130
< 0.1%
0.87516
 
< 0.1%
0.85425
 
< 0.1%
0.833327
 
< 0.1%
0.812512
 
< 0.1%
0.791764
< 0.1%
0.77087
 
< 0.1%

LANDAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3560
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06716874905
Minimum0
Maximum1
Zeros15919
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:45.252717image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0187
median0.0487
Q30.0868
95-th percentile0.1976
Maximum1
Range1
Interquartile range (IQR)0.0681

Descriptive statistics

Standard deviation0.08216701028
Coefficient of variation (CV)1.223292252
Kurtosis33.23797701
Mean0.06716874905
Median Absolute Deviation (MAD)0.0327
Skewness4.368292319
Sum8390.7873
Variance0.006751417578
MonotonicityNot monotonic
2021-06-22T17:41:45.363771image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015919
 
5.2%
0.0193197
 
0.1%
0.0642194
 
0.1%
0.0482186
 
0.1%
0.0143180
 
0.1%
0.0161180
 
0.1%
0.0803179
 
0.1%
0.0241177
 
0.1%
0.0321176
 
0.1%
0.0178175
 
0.1%
Other values (3550)107358
34.9%
(Missing)182590
59.4%
ValueCountFrequency (%)
015919
5.2%
0.000114
 
< 0.1%
0.000213
 
< 0.1%
0.00037
 
< 0.1%
0.000411
 
< 0.1%
0.00059
 
< 0.1%
0.000616
 
< 0.1%
0.000714
 
< 0.1%
0.000820
 
< 0.1%
0.000919
 
< 0.1%
ValueCountFrequency (%)
1135
< 0.1%
0.99473
 
< 0.1%
0.98581
 
< 0.1%
0.96621
 
< 0.1%
0.96142
 
< 0.1%
0.95373
 
< 0.1%
0.94451
 
< 0.1%
0.92899
 
< 0.1%
0.91791
 
< 0.1%
0.91033
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ≥0)

MISSING

Distinct1097
Distinct (%)1.1%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1019544732
Minimum0
Maximum1
Zeros433
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:45.997854image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0103
Q10.0513
median0.0761
Q30.1231
95-th percentile0.277
Maximum1
Range1
Interquartile range (IQR)0.0718

Descriptive statistics

Standard deviation0.09364233271
Coefficient of variation (CV)0.9184720369
Kurtosis15.6970531
Mean0.1019544732
Median Absolute Deviation (MAD)0.0334
Skewness2.988291445
Sum9921.3937
Variance0.008768886476
MonotonicityNot monotonic
2021-06-22T17:41:46.099772image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05134500
 
1.5%
0.06844497
 
1.5%
0.0772926
 
1.0%
0.05992708
 
0.9%
0.08552014
 
0.7%
0.12311921
 
0.6%
0.00681715
 
0.6%
0.06161691
 
0.5%
0.10261517
 
0.5%
0.01371487
 
0.5%
Other values (1087)72336
 
23.5%
(Missing)210199
68.4%
ValueCountFrequency (%)
0433
0.1%
0.0009117
 
< 0.1%
0.00131
 
< 0.1%
0.0017254
0.1%
0.00212
 
< 0.1%
0.0026134
 
< 0.1%
0.0035
 
< 0.1%
0.0034367
0.1%
0.00384
 
< 0.1%
0.0043131
 
< 0.1%
ValueCountFrequency (%)
191
< 0.1%
0.98082
 
< 0.1%
0.96544
 
< 0.1%
0.95095
 
< 0.1%
0.93125
 
< 0.1%
0.91491
 
< 0.1%
0.91412
 
< 0.1%
0.91071
 
< 0.1%
0.9091
 
< 0.1%
0.88761
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ≥0)

MISSING

Distinct5281
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.108606736
Minimum0
Maximum1
Zeros299
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:46.201369image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0457
median0.0749
Q30.1303
95-th percentile0.3255
Maximum1
Range1
Interquartile range (IQR)0.0846

Descriptive statistics

Standard deviation0.1122602587
Coefficient of variation (CV)1.033639927
Kurtosis12.13856123
Mean0.108606736
Median Absolute Deviation (MAD)0.0394
Skewness2.848935371
Sum16634.3163
Variance0.01260236568
MonotonicityNot monotonic
2021-06-22T17:41:46.312118image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0299
 
0.1%
0.0548239
 
0.1%
0.0518234
 
0.1%
0.052233
 
0.1%
0.0521232
 
0.1%
0.0522225
 
0.1%
0.0519217
 
0.1%
0.0513217
 
0.1%
0.0717212
 
0.1%
0.0888212
 
0.1%
Other values (5271)150841
49.1%
(Missing)154350
50.2%
ValueCountFrequency (%)
0299
0.1%
0.00014
 
< 0.1%
0.00028
 
< 0.1%
0.000310
 
< 0.1%
0.000414
 
< 0.1%
0.000516
 
< 0.1%
0.000622
 
< 0.1%
0.000726
 
< 0.1%
0.000835
 
< 0.1%
0.000937
 
< 0.1%
ValueCountFrequency (%)
1149
< 0.1%
0.99881
 
< 0.1%
0.9961
 
< 0.1%
0.99318
 
< 0.1%
0.99192
 
< 0.1%
0.98451
 
< 0.1%
0.98372
 
< 0.1%
0.9776
 
< 0.1%
0.97213
 
< 0.1%
0.969413
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct214
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.00865101333
Minimum0
Maximum1
Zeros56097
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:46.444879image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0311
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04741472791
Coefficient of variation (CV)5.480829366
Kurtosis289.4924548
Mean0.00865101333
Median Absolute Deviation (MAD)0
Skewness15.67199516
Sum813.1693
Variance0.002248156423
MonotonicityNot monotonic
2021-06-22T17:41:46.564532image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056097
 
18.2%
0.003914126
 
4.6%
0.00786493
 
2.1%
0.01163788
 
1.2%
0.01552557
 
0.8%
0.01941696
 
0.6%
0.00191286
 
0.4%
0.02331202
 
0.4%
0.0272864
 
0.3%
0.0311731
 
0.2%
Other values (204)5157
 
1.7%
(Missing)213514
69.4%
ValueCountFrequency (%)
056097
18.2%
0.00191286
 
0.4%
0.003914126
 
4.6%
0.0058515
 
0.2%
0.00786493
 
2.1%
0.0097265
 
0.1%
0.01163788
 
1.2%
0.0136150
 
< 0.1%
0.01552557
 
0.8%
0.017597
 
< 0.1%
ValueCountFrequency (%)
197
< 0.1%
0.99764
 
< 0.1%
0.99381
 
< 0.1%
0.97823
 
< 0.1%
0.96272
 
< 0.1%
0.96083
 
< 0.1%
0.95112
 
< 0.1%
0.93943
 
< 0.1%
0.93177
 
< 0.1%
0.91612
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3323
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.0282359206
Minimum0
Maximum1
Zeros60954
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:46.689987image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0031
Q30.0266
95-th percentile0.1295
Maximum1
Range1
Interquartile range (IQR)0.0266

Descriptive statistics

Standard deviation0.07016648151
Coefficient of variation (CV)2.48500775
Kurtosis63.65403519
Mean0.0282359206
Median Absolute Deviation (MAD)0.0031
Skewness6.508830983
Sum3891.7287
Variance0.004923335127
MonotonicityNot monotonic
2021-06-22T17:41:46.827178image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
060954
 
19.8%
0.0012539
 
0.2%
0.0022478
 
0.2%
0.0037456
 
0.1%
0.0044431
 
0.1%
0.0011421
 
0.1%
0.0043415
 
0.1%
0.0031407
 
0.1%
0.001401
 
0.1%
0.0029387
 
0.1%
Other values (3313)72940
23.7%
(Missing)169682
55.2%
ValueCountFrequency (%)
060954
19.8%
0.0001154
 
0.1%
0.000281
 
< 0.1%
0.000386
 
< 0.1%
0.0004147
 
< 0.1%
0.0005189
 
0.1%
0.0006196
 
0.1%
0.0007227
 
0.1%
0.0008145
 
< 0.1%
0.0009242
 
0.1%
ValueCountFrequency (%)
1134
< 0.1%
0.99691
 
< 0.1%
0.97922
 
< 0.1%
0.97891
 
< 0.1%
0.97595
 
< 0.1%
0.97563
 
< 0.1%
0.95992
 
< 0.1%
0.95261
 
< 0.1%
0.95011
 
< 0.1%
0.9495
 
< 0.1%

FONDKAPREMONT_MODE
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing210295
Missing (%)68.4%
Memory size13.2 MiB
reg oper account
73830 
reg oper spec account
12080 
not specified
 
5687
org spec account
 
5619

Characters and Unicode

Total characters1598795
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rowreg oper account
3rd rowreg oper account
4th rowreg oper account
5th rowreg oper account
ValueCountFrequency (%)
reg oper account73830
 
24.0%
reg oper spec account12080
 
3.9%
not specified5687
 
1.8%
org spec account5619
 
1.8%
(Missing)210295
68.4%
ValueCountFrequency (%)
account91529
30.7%
reg85910
28.8%
oper85910
28.8%
spec17699
 
5.9%
not5687
 
1.9%
specified5687
 
1.9%
org5619
 
1.9%

Most occurring characters

ValueCountFrequency (%)
c206444
12.9%
e200893
12.6%
200825
12.6%
o188745
11.8%
r177439
11.1%
p109296
6.8%
n97216
6.1%
t97216
6.1%
g91529
5.7%
a91529
5.7%
Other values (5)137663
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1397970
87.4%
Space Separator200825
 
12.6%

Most frequent character per category

ValueCountFrequency (%)
c206444
14.8%
e200893
14.4%
o188745
13.5%
r177439
12.7%
p109296
7.8%
n97216
7.0%
t97216
7.0%
g91529
6.5%
a91529
6.5%
u91529
6.5%
Other values (4)46134
 
3.3%
ValueCountFrequency (%)
200825
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1397970
87.4%
Common200825
 
12.6%

Most frequent character per script

ValueCountFrequency (%)
c206444
14.8%
e200893
14.4%
o188745
13.5%
r177439
12.7%
p109296
7.8%
n97216
7.0%
t97216
7.0%
g91529
6.5%
a91529
6.5%
u91529
6.5%
Other values (4)46134
 
3.3%
ValueCountFrequency (%)
200825
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1598795
100.0%

Most frequent character per block

ValueCountFrequency (%)
c206444
12.9%
e200893
12.6%
200825
12.6%
o188745
11.8%
r177439
11.1%
p109296
6.8%
n97216
6.1%
t97216
6.1%
g91529
5.7%
a91529
5.7%
Other values (5)137663
8.6%

HOUSETYPE_MODE
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing154297
Missing (%)50.2%
Memory size15.1 MiB
block of flats
150503 
specific housing
 
1499
terraced house
 
1212

Characters and Unicode

Total characters2147994
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats
ValueCountFrequency (%)
block of flats150503
48.9%
specific housing1499
 
0.5%
terraced house1212
 
0.4%
(Missing)154297
50.2%
ValueCountFrequency (%)
of150503
32.9%
flats150503
32.9%
block150503
32.9%
specific1499
 
0.3%
housing1499
 
0.3%
house1212
 
0.3%
terraced1212
 
0.3%

Most occurring characters

ValueCountFrequency (%)
o303717
14.1%
303717
14.1%
f302505
14.1%
l301006
14.0%
c154713
7.2%
s154713
7.2%
a151715
7.1%
t151715
7.1%
b150503
7.0%
k150503
7.0%
Other values (9)23187
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1844277
85.9%
Space Separator303717
 
14.1%

Most frequent character per category

ValueCountFrequency (%)
o303717
16.5%
f302505
16.4%
l301006
16.3%
c154713
8.4%
s154713
8.4%
a151715
8.2%
t151715
8.2%
b150503
8.2%
k150503
8.2%
e5135
 
0.3%
Other values (8)18052
 
1.0%
ValueCountFrequency (%)
303717
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1844277
85.9%
Common303717
 
14.1%

Most frequent character per script

ValueCountFrequency (%)
o303717
16.5%
f302505
16.4%
l301006
16.3%
c154713
8.4%
s154713
8.4%
a151715
8.2%
t151715
8.2%
b150503
8.2%
k150503
8.2%
e5135
 
0.3%
Other values (8)18052
 
1.0%
ValueCountFrequency (%)
303717
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2147994
100.0%

Most frequent character per block

ValueCountFrequency (%)
o303717
14.1%
303717
14.1%
f302505
14.1%
l301006
14.0%
c154713
7.2%
s154713
7.2%
a151715
7.1%
t151715
7.1%
b150503
7.0%
k150503
7.0%
Other values (9)23187
 
1.1%

TOTALAREA_MODE
Real number (ℝ≥0)

MISSING

Distinct5116
Distinct (%)3.2%
Missing148431
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1025466627
Minimum0
Maximum1
Zeros582
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:47.284902image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0067
Q10.0412
median0.0688
Q30.1276
95-th percentile0.3092
Maximum1
Range1
Interquartile range (IQR)0.0864

Descriptive statistics

Standard deviation0.1074623241
Coefficient of variation (CV)1.04793585
Kurtosis12.16752998
Mean0.1025466627
Median Absolute Deviation (MAD)0.0375
Skewness2.79757152
Sum16313.1231
Variance0.01154815111
MonotonicityNot monotonic
2021-06-22T17:41:47.453444image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0582
 
0.2%
0.057247
 
0.1%
0.0547230
 
0.1%
0.055227
 
0.1%
0.0555227
 
0.1%
0.0548227
 
0.1%
0.0551225
 
0.1%
0.0554220
 
0.1%
0.0573220
 
0.1%
0.0566219
 
0.1%
Other values (5106)156456
50.9%
(Missing)148431
48.3%
ValueCountFrequency (%)
0582
0.2%
0.000110
 
< 0.1%
0.00024
 
< 0.1%
0.000324
 
< 0.1%
0.000418
 
< 0.1%
0.000526
 
< 0.1%
0.000638
 
< 0.1%
0.000743
 
< 0.1%
0.000876
 
< 0.1%
0.000964
 
< 0.1%
ValueCountFrequency (%)
1155
0.1%
0.99731
 
< 0.1%
0.99311
 
< 0.1%
0.9921
 
< 0.1%
0.9792
 
< 0.1%
0.9751
 
< 0.1%
0.97491
 
< 0.1%
0.97461
 
< 0.1%
0.97121
 
< 0.1%
0.96291
 
< 0.1%

WALLSMATERIAL_MODE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing156341
Missing (%)50.8%
Memory size14.2 MiB
Panel
66040 
Stone, brick
64815 
Block
9253 
Wooden
 
5362
Mixed
 
2296
Other values (2)
 
3404

Characters and Unicode

Total characters1225437
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStone, brick
2nd rowBlock
3rd rowPanel
4th rowPanel
5th rowStone, brick
ValueCountFrequency (%)
Panel66040
21.5%
Stone, brick64815
21.1%
Block9253
 
3.0%
Wooden5362
 
1.7%
Mixed2296
 
0.7%
Monolithic1779
 
0.6%
Others1625
 
0.5%
(Missing)156341
50.8%
ValueCountFrequency (%)
panel66040
30.6%
stone64815
30.0%
brick64815
30.0%
block9253
 
4.3%
wooden5362
 
2.5%
mixed2296
 
1.1%
monolithic1779
 
0.8%
others1625
 
0.8%

Most occurring characters

ValueCountFrequency (%)
e140138
 
11.4%
n137996
 
11.3%
o88350
 
7.2%
l77072
 
6.3%
c75847
 
6.2%
k74068
 
6.0%
i70669
 
5.8%
t68219
 
5.6%
r66440
 
5.4%
P66040
 
5.4%
Other values (13)360598
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter944637
77.1%
Uppercase Letter151170
 
12.3%
Other Punctuation64815
 
5.3%
Space Separator64815
 
5.3%

Most frequent character per category

ValueCountFrequency (%)
e140138
14.8%
n137996
14.6%
o88350
9.4%
l77072
8.2%
c75847
8.0%
k74068
7.8%
i70669
7.5%
t68219
7.2%
r66440
7.0%
a66040
7.0%
Other values (5)79798
8.4%
ValueCountFrequency (%)
P66040
43.7%
S64815
42.9%
B9253
 
6.1%
W5362
 
3.5%
M4075
 
2.7%
O1625
 
1.1%
ValueCountFrequency (%)
,64815
100.0%
ValueCountFrequency (%)
64815
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1095807
89.4%
Common129630
 
10.6%

Most frequent character per script

ValueCountFrequency (%)
e140138
12.8%
n137996
12.6%
o88350
 
8.1%
l77072
 
7.0%
c75847
 
6.9%
k74068
 
6.8%
i70669
 
6.4%
t68219
 
6.2%
r66440
 
6.1%
P66040
 
6.0%
Other values (11)230968
21.1%
ValueCountFrequency (%)
,64815
50.0%
64815
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1225437
100.0%

Most frequent character per block

ValueCountFrequency (%)
e140138
 
11.4%
n137996
 
11.3%
o88350
 
7.2%
l77072
 
6.3%
c75847
 
6.2%
k74068
 
6.0%
i70669
 
5.8%
t68219
 
5.6%
r66440
 
5.4%
P66040
 
5.4%
Other values (13)360598
29.4%

EMERGENCYSTATE_MODE
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing145755
Missing (%)47.4%
Memory size13.6 MiB
No
159428 
Yes
 
2328

Characters and Unicode

Total characters325840
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No159428
51.8%
Yes2328
 
0.8%
(Missing)145755
47.4%
ValueCountFrequency (%)
no159428
98.6%
yes2328
 
1.4%

Most occurring characters

ValueCountFrequency (%)
N159428
48.9%
o159428
48.9%
Y2328
 
0.7%
e2328
 
0.7%
s2328
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter164084
50.4%
Uppercase Letter161756
49.6%

Most frequent character per category

ValueCountFrequency (%)
o159428
97.2%
e2328
 
1.4%
s2328
 
1.4%
ValueCountFrequency (%)
N159428
98.6%
Y2328
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Latin325840
100.0%

Most frequent character per script

ValueCountFrequency (%)
N159428
48.9%
o159428
48.9%
Y2328
 
0.7%
e2328
 
0.7%
s2328
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII325840
100.0%

Most frequent character per block

ValueCountFrequency (%)
N159428
48.9%
o159428
48.9%
Y2328
 
0.7%
e2328
 
0.7%
s2328
 
0.7%

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.422245424
Minimum0
Maximum348
Zeros163910
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:47.900432image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum348
Range348
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.400988746
Coefficient of variation (CV)1.688167672
Kurtosis1424.815552
Mean1.422245424
Median Absolute Deviation (MAD)0
Skewness12.13959776
Sum435904
Variance5.764746959
MonotonicityNot monotonic
2021-06-22T17:41:48.023845image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0163910
53.3%
148783
 
15.9%
229808
 
9.7%
320322
 
6.6%
414143
 
4.6%
59553
 
3.1%
66453
 
2.1%
74390
 
1.4%
82967
 
1.0%
92003
 
0.7%
Other values (23)4158
 
1.4%
ValueCountFrequency (%)
0163910
53.3%
148783
 
15.9%
229808
 
9.7%
320322
 
6.6%
414143
 
4.6%
59553
 
3.1%
66453
 
2.1%
74390
 
1.4%
82967
 
1.0%
92003
 
0.7%
ValueCountFrequency (%)
3481
 
< 0.1%
471
 
< 0.1%
302
 
< 0.1%
291
 
< 0.1%
281
 
< 0.1%
275
 
< 0.1%
263
 
< 0.1%
2511
< 0.1%
2411
< 0.1%
2315
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1434206663
Minimum0
Maximum34
Zeros271324
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:48.129848image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4466984294
Coefficient of variation (CV)3.114602944
Kurtosis126.3124449
Mean0.1434206663
Median Absolute Deviation (MAD)0
Skewness5.183517952
Sum43957
Variance0.1995394868
MonotonicityNot monotonic
2021-06-22T17:41:48.215286image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0271324
88.2%
128328
 
9.2%
25323
 
1.7%
31192
 
0.4%
4253
 
0.1%
556
 
< 0.1%
611
 
< 0.1%
81
 
< 0.1%
71
 
< 0.1%
341
 
< 0.1%
(Missing)1021
 
0.3%
ValueCountFrequency (%)
0271324
88.2%
128328
 
9.2%
25323
 
1.7%
31192
 
0.4%
4253
 
0.1%
556
 
< 0.1%
611
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
341
 
< 0.1%
ValueCountFrequency (%)
341
 
< 0.1%
81
 
< 0.1%
71
 
< 0.1%
611
 
< 0.1%
556
 
< 0.1%
4253
 
0.1%
31192
 
0.4%
25323
 
1.7%
128328
 
9.2%
0271324
88.2%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.405292179
Minimum0
Maximum344
Zeros164666
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:48.325394image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum344
Range344
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.379803352
Coefficient of variation (CV)1.693458049
Kurtosis1409.704557
Mean1.405292179
Median Absolute Deviation (MAD)0
Skewness12.0708287
Sum430708
Variance5.663463994
MonotonicityNot monotonic
2021-06-22T17:41:48.447992image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0164666
53.5%
148870
 
15.9%
229766
 
9.7%
320215
 
6.6%
413946
 
4.5%
59463
 
3.1%
66349
 
2.1%
74344
 
1.4%
82886
 
0.9%
91959
 
0.6%
Other values (23)4026
 
1.3%
ValueCountFrequency (%)
0164666
53.5%
148870
 
15.9%
229766
 
9.7%
320215
 
6.6%
413946
 
4.5%
59463
 
3.1%
66349
 
2.1%
74344
 
1.4%
82886
 
0.9%
91959
 
0.6%
ValueCountFrequency (%)
3441
 
< 0.1%
471
 
< 0.1%
301
 
< 0.1%
292
 
< 0.1%
281
 
< 0.1%
275
 
< 0.1%
261
 
< 0.1%
2511
< 0.1%
2412
< 0.1%
2313
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1000489412
Minimum0
Maximum24
Zeros280721
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:48.559773image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.362290804
Coefficient of variation (CV)3.621135811
Kurtosis86.56285559
Mean0.1000489412
Median Absolute Deviation (MAD)0
Skewness5.277878293
Sum30664
Variance0.1312546266
MonotonicityNot monotonic
2021-06-22T17:41:48.719350image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0280721
91.3%
121841
 
7.1%
23170
 
1.0%
3598
 
0.2%
4135
 
< 0.1%
520
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
241
 
< 0.1%
(Missing)1021
 
0.3%
ValueCountFrequency (%)
0280721
91.3%
121841
 
7.1%
23170
 
1.0%
3598
 
0.2%
4135
 
< 0.1%
520
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
241
 
< 0.1%
ValueCountFrequency (%)
241
 
< 0.1%
71
 
< 0.1%
63
 
< 0.1%
520
 
< 0.1%
4135
 
< 0.1%
3598
 
0.2%
23170
 
1.0%
121841
 
7.1%
0280721
91.3%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

ZEROS

Distinct3773
Distinct (%)1.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-962.8587883
Minimum-4292
Maximum0
Zeros37672
Zeros (%)12.3%
Negative269838
Negative (%)87.7%
Memory size2.3 MiB
2021-06-22T17:41:48.848528image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-4292
5-th percentile-2522
Q1-1570
median-757
Q3-274
95-th percentile0
Maximum0
Range4292
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation826.808487
Coefficient of variation (CV)-0.858701709
Kurtosis-0.3085799414
Mean-962.8587883
Median Absolute Deviation (MAD)627
Skewness-0.7136056679
Sum-296088706
Variance683612.2742
MonotonicityNot monotonic
2021-06-22T17:41:48.963857image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
037672
 
12.3%
-12812
 
0.9%
-22318
 
0.8%
-31763
 
0.6%
-41285
 
0.4%
-5824
 
0.3%
-6537
 
0.2%
-7442
 
0.1%
-8278
 
0.1%
-476222
 
0.1%
Other values (3763)259357
84.3%
ValueCountFrequency (%)
-42921
< 0.1%
-41851
< 0.1%
-41731
< 0.1%
-41531
< 0.1%
-41311
< 0.1%
-41281
< 0.1%
-41212
< 0.1%
-41181
< 0.1%
-41151
< 0.1%
-40921
< 0.1%
ValueCountFrequency (%)
037672
12.3%
-12812
 
0.9%
-22318
 
0.8%
-31763
 
0.6%
-41285
 
0.4%
-5824
 
0.3%
-6537
 
0.2%
-7442
 
0.1%
-8278
 
0.1%
-9198
 
0.1%

FLAG_DOCUMENT_2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.227491049 × 10-5
Minimum0
Maximum1
Zeros307498
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.081171image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006501789045
Coefficient of variation (CV)153.7978193
Kurtosis23650.07691
Mean4.227491049 × 10-5
Median Absolute Deviation (MAD)0
Skewness153.7918174
Sum13
Variance4.227326079 × 10-5
MonotonicityNot monotonic
2021-06-22T17:41:49.183770image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307498
> 99.9%
113
 
< 0.1%
ValueCountFrequency (%)
0307498
> 99.9%
113
 
< 0.1%
ValueCountFrequency (%)
113
 
< 0.1%
0307498
> 99.9%

FLAG_DOCUMENT_3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7100233813
Minimum0
Maximum1
Zeros89171
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.265316image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4537519684
Coefficient of variation (CV)0.6390662342
Kurtosis-1.143040848
Mean0.7100233813
Median Absolute Deviation (MAD)0
Skewness-0.9257248975
Sum218340
Variance0.2058908489
MonotonicityNot monotonic
2021-06-22T17:41:49.340025image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1218340
71.0%
089171
29.0%
ValueCountFrequency (%)
089171
29.0%
1218340
71.0%
ValueCountFrequency (%)
1218340
71.0%
089171
29.0%

FLAG_DOCUMENT_4
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.129790479 × 10-5
Minimum0
Maximum1
Zeros307486
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.407035image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009016183217
Coefficient of variation (CV)110.9030207
Kurtosis12295.64002
Mean8.129790479 × 10-5
Median Absolute Deviation (MAD)0
Skewness110.8943644
Sum25
Variance8.129155979 × 10-5
MonotonicityNot monotonic
2021-06-22T17:41:49.478706image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307486
> 99.9%
125
 
< 0.1%
ValueCountFrequency (%)
0307486
> 99.9%
125
 
< 0.1%
ValueCountFrequency (%)
125
 
< 0.1%
0307486
> 99.9%

FLAG_DOCUMENT_5
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01511490646
Minimum0
Maximum1
Zeros302863
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.552094image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1220102228
Coefficient of variation (CV)8.072178491
Kurtosis61.17621478
Mean0.01511490646
Median Absolute Deviation (MAD)0
Skewness7.94832164
Sum4648
Variance0.01488649447
MonotonicityNot monotonic
2021-06-22T17:41:49.637803image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0302863
98.5%
14648
 
1.5%
ValueCountFrequency (%)
0302863
98.5%
14648
 
1.5%
ValueCountFrequency (%)
14648
 
1.5%
0302863
98.5%

FLAG_DOCUMENT_6
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08805538664
Minimum0
Maximum1
Zeros280433
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.741140image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2833758929
Coefficient of variation (CV)3.218155114
Kurtosis6.453170922
Mean0.08805538664
Median Absolute Deviation (MAD)0
Skewness2.907426517
Sum27078
Variance0.08030189666
MonotonicityNot monotonic
2021-06-22T17:41:49.833627image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0280433
91.2%
127078
 
8.8%
ValueCountFrequency (%)
0280433
91.2%
127078
 
8.8%
ValueCountFrequency (%)
127078
 
8.8%
0280433
91.2%

FLAG_DOCUMENT_7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001918630553
Minimum0
Maximum1
Zeros307452
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:49.983301image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01385015768
Coefficient of variation (CV)72.18772606
Kurtosis5207.135724
Mean0.0001918630553
Median Absolute Deviation (MAD)0
Skewness72.17410795
Sum59
Variance0.0001918268677
MonotonicityNot monotonic
2021-06-22T17:41:50.084860image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307452
> 99.9%
159
 
< 0.1%
ValueCountFrequency (%)
0307452
> 99.9%
159
 
< 0.1%
ValueCountFrequency (%)
159
 
< 0.1%
0307452
> 99.9%

FLAG_DOCUMENT_8
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08137595078
Minimum0
Maximum1
Zeros282487
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:50.161458image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734120489
Coefficient of variation (CV)3.359863035
Kurtosis7.377366974
Mean0.08137595078
Median Absolute Deviation (MAD)0
Skewness3.062240845
Sum25024
Variance0.07475414851
MonotonicityNot monotonic
2021-06-22T17:41:50.239975image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0282487
91.9%
125024
 
8.1%
ValueCountFrequency (%)
0282487
91.9%
125024
 
8.1%
ValueCountFrequency (%)
125024
 
8.1%
0282487
91.9%

FLAG_DOCUMENT_9
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003895795598
Minimum0
Maximum1
Zeros306313
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:50.335022image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0622947108
Coefficient of variation (CV)15.99024108
Kurtosis251.6950013
Mean0.003895795598
Median Absolute Deviation (MAD)0
Skewness15.92775453
Sum1198
Variance0.003880630994
MonotonicityNot monotonic
2021-06-22T17:41:50.430029image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0306313
99.6%
11198
 
0.4%
ValueCountFrequency (%)
0306313
99.6%
11198
 
0.4%
ValueCountFrequency (%)
11198
 
0.4%
0306313
99.6%

FLAG_DOCUMENT_10
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.276341334 × 10-5
Minimum0
Maximum1
Zeros307504
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:50.539603image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004771055354
Coefficient of variation (CV)209.5931433
Kurtosis43925.85711
Mean2.276341334 × 10-5
Median Absolute Deviation (MAD)0
Skewness209.5890537
Sum7
Variance2.276296919 × 10-5
MonotonicityNot monotonic
2021-06-22T17:41:50.635055image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307504
> 99.9%
17
 
< 0.1%
ValueCountFrequency (%)
0307504
> 99.9%
17
 
< 0.1%
ValueCountFrequency (%)
17
 
< 0.1%
0307504
> 99.9%

FLAG_DOCUMENT_11
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003912055179
Minimum0
Maximum1
Zeros306308
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:50.737722image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06242406327
Coefficient of variation (CV)15.95684632
Kurtosis250.6281384
Mean0.003912055179
Median Absolute Deviation (MAD)0
Skewness15.89422878
Sum1203
Variance0.003896763675
MonotonicityNot monotonic
2021-06-22T17:41:50.852226image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0306308
99.6%
11203
 
0.4%
ValueCountFrequency (%)
0306308
99.6%
11203
 
0.4%
ValueCountFrequency (%)
11203
 
0.4%
0306308
99.6%

FLAG_DOCUMENT_12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.503832383 × 10-6
Minimum0
Maximum1
Zeros307509
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:50.962120image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002550257092
Coefficient of variation (CV)392.1160542
Kurtosis153753
Mean6.503832383 × 10-6
Median Absolute Deviation (MAD)0
Skewness392.1147791
Sum2
Variance6.503811233 × 10-6
MonotonicityNot monotonic
2021-06-22T17:41:51.072594image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307509
> 99.9%
12
 
< 0.1%
ValueCountFrequency (%)
0307509
> 99.9%
12
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
0307509
> 99.9%

FLAG_DOCUMENT_13
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003525077152
Minimum0
Maximum1
Zeros306427
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:51.193274image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05926771807
Coefficient of variation (CV)16.81316905
Kurtosis278.6898227
Mean0.003525077152
Median Absolute Deviation (MAD)0
Skewness16.75374615
Sum1084
Variance0.003512662406
MonotonicityNot monotonic
2021-06-22T17:41:51.307157image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0306427
99.6%
11084
 
0.4%
ValueCountFrequency (%)
0306427
99.6%
11084
 
0.4%
ValueCountFrequency (%)
11084
 
0.4%
0306427
99.6%

FLAG_DOCUMENT_14
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002936480321
Minimum0
Maximum1
Zeros306608
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:51.430478image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05410976738
Coefficient of variation (CV)18.42674272
Kurtosis335.5521636
Mean0.002936480321
Median Absolute Deviation (MAD)0
Skewness18.37253334
Sum903
Variance0.002927866926
MonotonicityNot monotonic
2021-06-22T17:41:51.542538image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0306608
99.7%
1903
 
0.3%
ValueCountFrequency (%)
0306608
99.7%
1903
 
0.3%
ValueCountFrequency (%)
1903
 
0.3%
0306608
99.7%

FLAG_DOCUMENT_15
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001209712823
Minimum0
Maximum1
Zeros307139
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:51.640956image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03475993883
Coefficient of variation (CV)28.7340418
Kurtosis821.6570635
Mean0.001209712823
Median Absolute Deviation (MAD)0
Skewness28.69933309
Sum372
Variance0.001208253347
MonotonicityNot monotonic
2021-06-22T17:41:51.736357image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307139
99.9%
1372
 
0.1%
ValueCountFrequency (%)
0307139
99.9%
1372
 
0.1%
ValueCountFrequency (%)
1372
 
0.1%
0307139
99.9%

FLAG_DOCUMENT_16
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009928100133
Minimum0
Maximum1
Zeros304458
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:51.829870image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09914416234
Coefficient of variation (CV)9.986217001
Kurtosis95.73580948
Mean0.009928100133
Median Absolute Deviation (MAD)0
Skewness9.886110804
Sum3053
Variance0.009829564926
MonotonicityNot monotonic
2021-06-22T17:41:51.925785image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0304458
99.0%
13053
 
1.0%
ValueCountFrequency (%)
0304458
99.0%
13053
 
1.0%
ValueCountFrequency (%)
13053
 
1.0%
0304458
99.0%

FLAG_DOCUMENT_17
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002666571277
Minimum0
Maximum1
Zeros307429
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:52.045079image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01632748874
Coefficient of variation (CV)61.23027305
Kurtosis3745.195328
Mean0.0002666571277
Median Absolute Deviation (MAD)0
Skewness61.21414027
Sum82
Variance0.0002665868886
MonotonicityNot monotonic
2021-06-22T17:41:52.182592image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307429
> 99.9%
182
 
< 0.1%
ValueCountFrequency (%)
0307429
> 99.9%
182
 
< 0.1%
ValueCountFrequency (%)
182
 
< 0.1%
0307429
> 99.9%

FLAG_DOCUMENT_18
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008129790479
Minimum0
Maximum1
Zeros305011
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:52.272537image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08979823611
Coefficient of variation (CV)11.04557815
Kurtosis118.0145348
Mean0.008129790479
Median Absolute Deviation (MAD)0
Skewness10.95507952
Sum2500
Variance0.008063723208
MonotonicityNot monotonic
2021-06-22T17:41:52.348402image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0305011
99.2%
12500
 
0.8%
ValueCountFrequency (%)
0305011
99.2%
12500
 
0.8%
ValueCountFrequency (%)
12500
 
0.8%
0305011
99.2%

FLAG_DOCUMENT_19
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005951006631
Minimum0
Maximum1
Zeros307328
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:52.423513image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02438746507
Coefficient of variation (CV)40.98040311
Kurtosis1675.415835
Mean0.0005951006631
Median Absolute Deviation (MAD)0
Skewness40.95613431
Sum183
Variance0.0005947484523
MonotonicityNot monotonic
2021-06-22T17:41:52.552957image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307328
99.9%
1183
 
0.1%
ValueCountFrequency (%)
0307328
99.9%
1183
 
0.1%
ValueCountFrequency (%)
1183
 
0.1%
0307328
99.9%

FLAG_DOCUMENT_20
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005072989259
Minimum0
Maximum1
Zeros307355
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:52.644571image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02251762027
Coefficient of variation (CV)44.38728158
Kurtosis1966.256856
Mean0.0005072989259
Median Absolute Deviation (MAD)0
Skewness44.3648968
Sum156
Variance0.0005070432226
MonotonicityNot monotonic
2021-06-22T17:41:52.728470image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307355
99.9%
1156
 
0.1%
ValueCountFrequency (%)
0307355
99.9%
1156
 
0.1%
ValueCountFrequency (%)
1156
 
0.1%
0307355
99.9%

FLAG_DOCUMENT_21
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003349473677
Minimum0
Maximum1
Zeros307408
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:52.801632image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01829853182
Coefficient of variation (CV)54.63106621
Kurtosis2980.592507
Mean0.0003349473677
Median Absolute Deviation (MAD)0
Skewness54.61293914
Sum103
Variance0.0003348362669
MonotonicityNot monotonic
2021-06-22T17:41:52.913729image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0307408
> 99.9%
1103
 
< 0.1%
ValueCountFrequency (%)
0307408
> 99.9%
1103
 
< 0.1%
ValueCountFrequency (%)
1103
 
< 0.1%
0307408
> 99.9%

AMT_REQ_CREDIT_BUREAU_HOUR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.006402448194
Minimum0
Maximum4
Zeros264366
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:53.027440image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08384912845
Coefficient of variation (CV)13.09641654
Kurtosis254.2436197
Mean0.006402448194
Median Absolute Deviation (MAD)0
Skewness14.53406206
Sum1703
Variance0.007030676341
MonotonicityNot monotonic
2021-06-22T17:41:53.102173image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0264366
86.0%
11560
 
0.5%
256
 
< 0.1%
39
 
< 0.1%
41
 
< 0.1%
(Missing)41519
 
13.5%
ValueCountFrequency (%)
0264366
86.0%
11560
 
0.5%
256
 
< 0.1%
39
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
39
 
< 0.1%
256
 
< 0.1%
11560
 
0.5%
0264366
86.0%

AMT_REQ_CREDIT_BUREAU_DAY
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.007000210533
Minimum0
Maximum9
Zeros264503
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:53.186675image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1107574063
Coefficient of variation (CV)15.82201075
Kurtosis1151.867594
Mean0.007000210533
Median Absolute Deviation (MAD)0
Skewness27.04350471
Sum1862
Variance0.01226720306
MonotonicityNot monotonic
2021-06-22T17:41:53.262295image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0264503
86.0%
11292
 
0.4%
2106
 
< 0.1%
345
 
< 0.1%
426
 
< 0.1%
59
 
< 0.1%
68
 
< 0.1%
92
 
< 0.1%
81
 
< 0.1%
(Missing)41519
 
13.5%
ValueCountFrequency (%)
0264503
86.0%
11292
 
0.4%
2106
 
< 0.1%
345
 
< 0.1%
426
 
< 0.1%
59
 
< 0.1%
68
 
< 0.1%
81
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
81
 
< 0.1%
68
 
< 0.1%
59
 
< 0.1%
426
 
< 0.1%
345
 
< 0.1%
2106
 
< 0.1%
11292
 
0.4%
0264503
86.0%

AMT_REQ_CREDIT_BUREAU_WEEK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.0343619357
Minimum0
Maximum8
Zeros257456
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:53.335580image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2046848758
Coefficient of variation (CV)5.956732985
Kurtosis166.75223
Mean0.0343619357
Median Absolute Deviation (MAD)0
Skewness9.293572552
Sum9140
Variance0.04189589839
MonotonicityNot monotonic
2021-06-22T17:41:53.454291image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0257456
83.7%
18208
 
2.7%
2199
 
0.1%
358
 
< 0.1%
434
 
< 0.1%
620
 
< 0.1%
510
 
< 0.1%
85
 
< 0.1%
72
 
< 0.1%
(Missing)41519
 
13.5%
ValueCountFrequency (%)
0257456
83.7%
18208
 
2.7%
2199
 
0.1%
358
 
< 0.1%
434
 
< 0.1%
510
 
< 0.1%
620
 
< 0.1%
72
 
< 0.1%
85
 
< 0.1%
ValueCountFrequency (%)
85
 
< 0.1%
72
 
< 0.1%
620
 
< 0.1%
510
 
< 0.1%
434
 
< 0.1%
358
 
< 0.1%
2199
 
0.1%
18208
 
2.7%
0257456
83.7%

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.26739526
Minimum0
Maximum27
Zeros222233
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:54.692427image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9160023962
Coefficient of variation (CV)3.425649341
Kurtosis90.4348572
Mean0.26739526
Median Absolute Deviation (MAD)0
Skewness7.804848087
Sum71125
Variance0.8390603898
MonotonicityNot monotonic
2021-06-22T17:41:54.810393image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0222233
72.3%
133147
 
10.8%
25386
 
1.8%
31991
 
0.6%
41076
 
0.3%
5602
 
0.2%
6343
 
0.1%
7298
 
0.1%
9206
 
0.1%
8185
 
0.1%
Other values (14)525
 
0.2%
(Missing)41519
 
13.5%
ValueCountFrequency (%)
0222233
72.3%
133147
 
10.8%
25386
 
1.8%
31991
 
0.6%
41076
 
0.3%
5602
 
0.2%
6343
 
0.1%
7298
 
0.1%
8185
 
0.1%
9206
 
0.1%
ValueCountFrequency (%)
271
 
< 0.1%
241
 
< 0.1%
231
 
< 0.1%
221
 
< 0.1%
193
 
< 0.1%
186
 
< 0.1%
1714
 
< 0.1%
1623
< 0.1%
1535
< 0.1%
1440
< 0.1%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.2654741496
Minimum0
Maximum261
Zeros215417
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:54.900129image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum261
Range261
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7940556483
Coefficient of variation (CV)2.991084629
Kurtosis43707.46475
Mean0.2654741496
Median Absolute Deviation (MAD)0
Skewness134.365776
Sum70614
Variance0.6305243726
MonotonicityNot monotonic
2021-06-22T17:41:55.021996image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0215417
70.1%
133862
 
11.0%
214412
 
4.7%
31717
 
0.6%
4476
 
0.2%
564
 
< 0.1%
628
 
< 0.1%
87
 
< 0.1%
77
 
< 0.1%
191
 
< 0.1%
(Missing)41519
 
13.5%
ValueCountFrequency (%)
0215417
70.1%
133862
 
11.0%
214412
 
4.7%
31717
 
0.6%
4476
 
0.2%
564
 
< 0.1%
628
 
< 0.1%
77
 
< 0.1%
87
 
< 0.1%
191
 
< 0.1%
ValueCountFrequency (%)
2611
 
< 0.1%
191
 
< 0.1%
87
 
< 0.1%
77
 
< 0.1%
628
 
< 0.1%
564
 
< 0.1%
4476
 
0.2%
31717
 
0.6%
214412
4.7%
133862
11.0%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean1.899974435
Minimum0
Maximum25
Zeros71801
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2021-06-22T17:41:55.106087image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.869294998
Coefficient of variation (CV)0.9838527106
Kurtosis1.969034037
Mean1.899974435
Median Absolute Deviation (MAD)1
Skewness1.243590004
Sum505378
Variance3.49426379
MonotonicityNot monotonic
2021-06-22T17:41:55.207285image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
071801
23.3%
163405
20.6%
250192
16.3%
333628
10.9%
420714
 
6.7%
512052
 
3.9%
66967
 
2.3%
73869
 
1.3%
82127
 
0.7%
91096
 
0.4%
Other values (15)141
 
< 0.1%
(Missing)41519
13.5%
ValueCountFrequency (%)
071801
23.3%
163405
20.6%
250192
16.3%
333628
10.9%
420714
 
6.7%
512052
 
3.9%
66967
 
2.3%
73869
 
1.3%
82127
 
0.7%
91096
 
0.4%
ValueCountFrequency (%)
251
 
< 0.1%
231
 
< 0.1%
221
 
< 0.1%
211
 
< 0.1%
201
 
< 0.1%
194
< 0.1%
184
< 0.1%
177
< 0.1%
163
< 0.1%
156
< 0.1%